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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. 1-RES-JB
    11. 15941
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    psons
    -0.76
     Seym
    -0.67
     protester
    -0.64
     Czech
    -0.63
     Dispatch
    -0.62
     Sunderland
    -0.62
     Bullets
    -0.62
     Trace
    -0.60
     sprayed
    -0.59
     Hussain
    -0.59
    POSITIVE LOGITS
    ngth
    0.91
    iary
    0.79
    space
    0.79
    ËĪ
    0.77
    lishes
    0.70
    issance
    0.69
    ned
    0.68
    dfx
    0.68
    fee
    0.67
    vu
    0.67
    Activations Density 0.000%

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