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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. 15782
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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
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    Negative Logits
    noon
    -0.73
    tenance
    -0.73
     Mamm
    -0.70
    cloth
    -0.66
     Drunk
    -0.64
    stasy
    -0.63
    enium
    -0.59
     mammal
    -0.59
    JUST
    -0.59
     Misc
    -0.58
    POSITIVE LOGITS
    urdue
    0.74
    apache
    0.70
    ounding
    0.66
    uilding
    0.66
    ogenic
    0.66
    ounded
    0.65
     Sharing
    0.64
    Þ
    0.64
    gnu
    0.64
    orate
    0.63
    Activations Density 0.000%

    No Known Activations

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