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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17317
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    Explanations

    temporal information related to time periods and averages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and average values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    rium
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    Emb
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    gypt
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    Loading
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    POSITIVE LOGITS
     notwithstanding
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    ãĥĩãĤ£
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     apologies
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     phr
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     preferring
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     bip
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     practition
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     Nanto
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     preferably
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    Activations Density 1.480%

    No Known Activations