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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. 3-RES-JB
    11. 21139
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Supervisor
    -0.65
     Baal
    -0.65
     Purs
    -0.64
     stew
    -0.64
     reck
    -0.63
     pot
    -0.62
     Chief
    -0.61
     Slug
    -0.61
     grounds
    -0.61
     ×
    -0.60
    POSITIVE LOGITS
    legraph
    0.86
    gradation
    0.85
    ensibly
    0.82
    ornia
    0.81
    kan
    0.79
    alsa
    0.79
    amia
    0.78
    ital
    0.77
    itals
    0.76
    ullivan
    0.76
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.