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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. 3-RES-JB
    11. 7161
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ById
    -0.73
    200000
    -0.73
    SIGN
    -0.73
    CLASSIFIED
    -0.71
    atoon
    -0.70
    GER
    -0.70
    ANS
    -0.66
    ignty
    -0.65
    uble
    -0.64
    agra
    -0.64
    POSITIVE LOGITS
     Spac
    0.73
     Airl
    0.69
    inker
    0.68
    ildo
    0.67
     theorist
    0.64
    ially
    0.62
    roads
    0.60
    ondo
    0.60
    rities
    0.59
     Aerospace
    0.59
    Activations Density 0.000%

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