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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. 3-RES-JB
    11. 20823
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    Explanations

    phrases indicating a statement or decision about a particular topic

    oai_token-act-pair · gpt-3.5-turbo

    references to specific topics or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    eri
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    oglu
    -0.63
    ahi
    -0.62
    gallery
    -0.61
    oli
    -0.61
    POSITIVE LOGITS
    matically
    0.74
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    0.67
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    0.65
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    0.64
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     aspects
    0.64
     decisions
    0.63
     constitu
    0.63
     GD
    0.62
    Activations Density 0.020%

    No Known Activations