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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. 23529
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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
     Cummings
    -0.76
     Watson
    -0.75
     Kas
    -0.74
    acio
    -0.73
     Chatt
    -0.69
    atown
    -0.69
    ETHOD
    -0.69
     Shepherd
    -0.68
     Madison
    -0.66
     Meadows
    -0.65
    POSITIVE LOGITS
     destro
    0.80
     suspic
    0.74
     ripe
    0.71
    nir
    0.68
     nailed
    0.67
     dismissive
    0.67
     tyr
    0.67
     aggrav
    0.65
     traged
    0.65
     explode
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.