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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. 14778
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    INDEX
    Explanations
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    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
    .""
    -0.64
    ologies
    -0.62
     neglig
    -0.61
    raviolet
    -0.59
     exha
    -0.59
     afore
    -0.57
    */(
    -0.56
     inconsist
    -0.56
     unnecess
    -0.56
     deviations
    -0.56
    POSITIVE LOGITS
    ↵
    1.31
    <|endoftext|>
    1.04
    ↵↵
    0.83
     Others
    0.73
    SIGN
    0.73
     Username
    0.64
    SPONSORED
    0.62
     Instructions
    0.62
     Cooking
    0.62
     Tot
    0.61
    Activations Density 0.000%

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