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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. 3163
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    antry
    -0.82
    etary
    -0.63
    onding
    -0.63
    ļéĨĴ
    -0.61
    ski
    -0.58
    orts
    -0.58
    ishes
    -0.57
    cients
    -0.57
    efe
    -0.56
    ORTS
    -0.56
    POSITIVE LOGITS
    fitted
    1.07
    wards
    0.93
    sole
    0.92
    stretched
    0.91
     loud
    0.89
    smart
    0.88
    skirts
    0.83
    lived
    0.83
    bur
    0.81
     Loud
    0.79
    Activations Density 0.085%

    No Known Activations