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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
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    Explanations

    mentions of comedians

    oai_token-act-pair · gpt-3.5-turbo

    mentions of comedians

    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
    ntil
    -0.79
    undai
    -0.76
    doors
    -0.73
    rha
    -0.70
    enture
    -0.69
    irt
    -0.69
    lict
    -0.68
    atch
    -0.67
    ignty
    -0.67
    ultz
    -0.66
    POSITIVE LOGITS
     comedian
    1.14
     comedians
    1.06
    glers
    1.03
     Comed
    0.99
     laureate
    0.84
     Hebdo
    0.82
     trou
    0.80
    rities
    0.79
     satir
    0.78
     Osw
    0.78
    Activations Density 0.016%

    No Known Activations