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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. 16701
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    Explanations

    numerical figures related to measurements and data points

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
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    Negative Logits
    ylum
    -0.79
    isition
    -0.74
    umbn
    -0.71
    raltar
    -0.69
    bed
    -0.67
    engu
    -0.65
    omnia
    -0.64
    aints
    -0.64
    hid
    -0.64
    akespe
    -0.63
    POSITIVE LOGITS
     ERA
    1.01
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    0.91
     lakh
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    0.88
     trillion
    0.87
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     GHz
    0.79
     ±
    0.79
     Ranked
    0.77
    ±
    0.76
    Activations Density 0.085%

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