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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. 4-RES-JB
    11. 12310
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ordon
    -0.87
    conn
    -0.82
    wra
    -0.80
    type
    -0.78
    wagon
    -0.75
    amount
    -0.75
    plot
    -0.75
    within
    -0.74
    Downloadha
    -0.71
    canon
    -0.70
    POSITIVE LOGITS
     SPD
    0.70
     DW
    0.69
     Progressive
    0.66
     Apprentice
    0.64
     Dragonbound
    0.63
     advancement
    0.61
     ACTION
    0.60
     Internal
    0.58
    ulic
    0.57
    poral
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.