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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. 23494
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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
    Lex
    -0.78
     Dempsey
    -0.76
     Shard
    -0.75
    elly
    -0.71
    antha
    -0.70
    orable
    -0.70
     Sack
    -0.69
    inventoryQuantity
    -0.68
    terday
    -0.68
    iatus
    -0.67
    POSITIVE LOGITS
     arrows
    0.66
     alive
    0.63
    hol
    0.63
     bows
    0.62
     horses
    0.61
     axes
    0.60
    sharp
    0.60
    addons
    0.60
    hair
    0.60
     virtue
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.