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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. 10204
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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
    Not in Any Lists

    No Comments

    Negative Logits
     appre
    -0.73
    legram
    -0.72
    heit
    -0.70
    accompan
    -0.66
    ritical
    -0.66
    essim
    -0.66
    OUGH
    -0.66
    OT
    -0.65
    acebook
    -0.65
    owler
    -0.64
    POSITIVE LOGITS
     Cue
    0.84
     Fa
    0.74
     Pyr
    0.73
    tical
    0.72
     pse
    0.70
     Grac
    0.65
     Giuliani
    0.65
    nce
    0.65
     Echo
    0.64
    ãĥİ
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.