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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. 0-RES-JB
    11. 12135
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     challeng
    -0.84
     Seym
    -0.80
    eworks
    -0.77
    staking
    -0.77
    RC
    -0.71
     sovere
    -0.71
    xus
    -0.70
    ORK
    -0.68
    cv
    -0.68
    catentry
    -0.67
    POSITIVE LOGITS
     Fare
    0.78
     Ãľ
    0.77
     Quote
    0.71
     Restore
    0.68
    thel
    0.68
     Load
    0.65
    otle
    0.65
     Huck
    0.64
     Daryl
    0.64
     Fal
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.