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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. 0-RES-JB
    11. 18187
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    Explanations

    words related to sports events and championships

    oai_token-act-pair · gpt-3.5-turbo

    references to playoff events and fatty foods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARK
    -0.87
    Rog
    -0.82
     Woodward
    -0.77
    ãĤ©
    -0.71
    Const
    -0.69
    ark
    -0.68
     texting
    -0.68
     rept
    -0.67
    Alexander
    -0.67
     Tel
    -0.66
    POSITIVE LOGITS
     Playoffs
    1.93
     Playoff
    1.73
     fatty
    1.37
    ahead
    1.25
     sweets
    1.23
     Mercy
    1.18
    bis
    1.13
     Promotion
    1.09
    ython
    1.04
     Jin
    1.03
    Activations Density 0.050%

    No Known Activations