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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. 9-RES-JB
    11. 3504
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    Explanations

    proper nouns related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those named Brent and Sterling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llor
    -0.81
    nown
    -0.74
    ously
    -0.73
    iste
    -0.71
    lessly
    -0.71
    externalActionCode
    -0.71
    ingly
    -0.70
    iasm
    -0.70
    pecting
    -0.69
    cession
    -0.69
    POSITIVE LOGITS
    chio
    0.83
     chloride
    0.70
    henko
    0.70
    hyde
    0.68
    ember
    0.64
     Cele
    0.63
    aution
    0.61
     Staples
    0.60
    eton
    0.60
    ding
    0.60
    Activations Density 0.153%

    No Known Activations