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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 11562
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to examining topics or issues in depth

    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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    ãĥ¼ãĥ«
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    lon
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    LI
    -0.59
    POSITIVE LOGITS
     topics
    0.76
     pacing
    0.67
     topical
    0.67
     specifics
    0.65
     how
    0.62
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     technical
    0.61
     aspects
    0.61
    Merit
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    Activations Density 0.207%

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