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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. 8769
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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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    No Comments

    Negative Logits
    avage
    -0.76
    :]
    -0.75
    =]
    -0.72
     Decay
    -0.72
    artifacts
    -0.71
    sembly
    -0.71
    rane
    -0.67
    gee
    -0.67
    peror
    -0.66
    hea
    -0.65
    POSITIVE LOGITS
    WF
    0.72
     quota
    0.71
    embed
    0.68
     quotas
    0.68
    etitive
    0.68
    POL
    0.67
     âĢİ
    0.67
    å¤
    0.65
    Robin
    0.64
    Sel
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.