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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. 1518
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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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    No Comments

    Negative Logits
    hattan
    -0.81
     guiActiveUnfocused
    -0.73
    ischer
    -0.71
    etsk
    -0.69
    entanyl
    -0.67
     msec
    -0.65
    manent
    -0.64
    EngineDebug
    -0.62
     stability
    -0.61
    jun
    -0.61
    POSITIVE LOGITS
    ppe
    0.70
    gd
    0.69
    Role
    0.67
    wic
    0.66
    BRE
    0.64
    RP
    0.63
    Dist
    0.63
    UTH
    0.62
    ike
    0.61
    OA
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.