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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. 8-RES-JB
    11. 9868
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    Explanations

    words related to skiing and hostage situations

    oai_token-act-pair · gpt-3.5-turbo

    references to skiing and hostage situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edly
    -0.86
    icate
    -0.85
    icable
    -0.79
    lance
    -0.78
    eus
    -0.75
    ication
    -0.72
    romy
    -0.72
    ragon
    -0.72
    naire
    -0.69
    rite
    -0.69
    POSITIVE LOGITS
    uations
    1.06
    uated
    1.00
    uation
    0.99
    acca
    0.94
    bring
    0.85
    chell
    0.83
    uating
    0.81
    uates
    0.78
    lasses
    0.77
    ters
    0.74
    Activations Density 0.118%

    No Known Activations