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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. 4582
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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
    itsch
    -0.69
     destro
    -0.66
    itational
    -0.64
     Harding
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     Panc
    -0.63
    itionally
    -0.63
     Kuh
    -0.62
    Rule
    -0.62
    SourceFile
    -0.61
     Hitman
    -0.61
    POSITIVE LOGITS
    odium
    0.69
    ylene
    0.69
    jen
    0.69
    eele
    0.69
    oner
    0.67
    apes
    0.67
    ipation
    0.67
    asks
    0.66
    charges
    0.64
    uity
    0.63
    Activations Density 0.000%

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