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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. 18250
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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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    Negative Logits
    anship
    -0.82
    itcher
    -0.73
    artney
    -0.70
    staking
    -0.68
    hospital
    -0.68
    render
    -0.67
    hunter
    -0.67
     bre
    -0.66
    Jere
    -0.65
     pockets
    -0.63
    POSITIVE LOGITS
    ¬
    0.71
    alogy
    0.68
    §
    0.67
    ãĥ£
    0.66
    ĩ
    0.64
    eny
    0.64
    pires
    0.64
    Ĩ
    0.64
    opus
    0.63
    Cmd
    0.62
    Activations Density 0.000%

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