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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. 6330
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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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    No Comments

    Negative Logits
    leon
    -0.81
     Ler
    -0.71
    cellent
    -0.70
    à¹
    -0.70
     Boh
    -0.69
     Bac
    -0.69
     Rue
    -0.69
    ा
    -0.66
     Ras
    -0.66
     Wit
    -0.64
    POSITIVE LOGITS
    occup
    0.91
    ificant
    0.90
    onsequ
    0.85
     implications
    0.77
    ativity
    0.70
    izzard
    0.70
    udeb
    0.68
     accordingly
    0.67
    ãĥ¯
    0.67
    rite
    0.67
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.