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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. 17879
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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
     frames
    -0.68
    EVA
    -0.68
     Decay
    -0.64
     Arkham
    -0.64
     intervening
    -0.63
     Borders
    -0.63
    mentioned
    -0.62
     checkpoints
    -0.62
     Alz
    -0.61
    lessness
    -0.61
    POSITIVE LOGITS
    corn
    0.79
    adr
    0.72
    fan
    0.72
    hoe
    0.71
    ads
    0.71
    nuts
    0.70
    conserv
    0.69
    zes
    0.67
    adel
    0.67
    ados
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.