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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. 13232
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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
    rehens
    -0.72
    merce
    -0.70
    iqueness
    -0.67
    Wal
    -0.66
    iously
    -0.66
    icably
    -0.64
     imitation
    -0.64
     petition
    -0.63
    ufact
    -0.62
    usa
    -0.62
    POSITIVE LOGITS
     Optim
    0.73
    heny
    0.71
    apest
    0.69
     SAT
    0.68
     Vertical
    0.68
     Leopard
    0.67
    Scale
    0.66
    ÃįÃį
    0.66
     Panther
    0.66
     Tempest
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.