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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. 20030
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    INDEX
    Explanations
    No Explanations Found
    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
     precinct
    -0.68
     Centauri
    -0.67
    election
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     arbitration
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     approving
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    fman
    -0.59
     endorsements
    -0.59
     prot
    -0.58
     persuasion
    -0.56
     youths
    -0.56
    POSITIVE LOGITS
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    rug
    0.71
    rist
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    estones
    0.70
    ser
    0.69
    flows
    0.65
    oes
    0.64
    assi
    0.63
    adh
    0.63
    aker
    0.63
    Activations Density 0.000%

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