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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. 11-RES-JB
    11. 14883
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    Explanations

    -phrases related to incidents, accidents, and emergencies

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents or events occurring at a specific location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utm
    -0.76
    raltar
    -0.73
    thood
    -0.73
    BuyableInstoreAndOnline
    -0.69
    iago
    -0.68
    glomer
    -0.67
     Seym
    -0.66
    yip
    -0.65
    sylv
    -0.64
    bitious
    -0.62
    POSITIVE LOGITS
     of
    0.93
     scene
    0.84
     unfolding
    0.78
    of
    0.78
    Witness
    0.76
     tending
    0.74
     thereof
    0.74
     where
    0.73
     unfold
    0.71
     whence
    0.69
    Activations Density 0.074%

    No Known Activations