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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. 1-RES-JB
    11. 19669
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    Explanations

    references to fire-related incidents or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to fires and fire-related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.86
     Vide
    -0.72
     Proud
    -0.71
    zzo
    -0.70
    Ń·
    -0.68
    achu
    -0.65
     fixme
    -0.65
    berra
    -0.63
     Morg
    -0.63
    ĸļ
    -0.62
    POSITIVE LOGITS
    flies
    1.03
     exting
    0.95
    proof
    0.94
    bolt
    0.85
     brigade
    0.84
    lance
    0.84
     wildfire
    0.82
    fighter
    0.82
     brig
    0.81
    storm
    0.81
    Activations Density 0.021%

    No Known Activations