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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. 11957
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    Explanations

    words related to functionality or operational success

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "work" and its variations

    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
    ilings
    -0.75
    gart
    -0.75
    antha
    -0.71
    pora
    -0.64
    cember
    -0.63
    xual
    -0.63
    ideshow
    -0.61
    ailable
    -0.61
    anamo
    -0.61
    osure
    -0.60
    POSITIVE LOGITS
    heet
    1.11
    bench
    1.03
     seamlessly
    0.97
    hops
    0.93
     smoothly
    0.93
     differently
    0.92
     wonders
    0.91
    flows
    0.91
     flaw
    0.89
    atically
    0.88
    Activations Density 0.060%

    No Known Activations