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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. 11219
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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
    ense
    -0.79
    ety
    -0.74
    ench
    -0.72
    igible
    -0.69
    ongs
    -0.69
    ingu
    -0.67
    oad
    -0.67
    edged
    -0.67
    itor
    -0.66
    inge
    -0.66
    POSITIVE LOGITS
    rine
    0.67
    asca
    0.66
    trap
    0.64
     WARN
    0.63
    QL
    0.63
    rush
    0.63
    WIN
    0.63
    GO
    0.62
    HCR
    0.62
    APP
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.