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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. 15320
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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
     destro
    -0.85
    conservancy
    -0.75
    ãĥ´ãĤ¡
    -0.70
    DOS
    -0.69
    ãĥĺãĥ©
    -0.69
    hement
    -0.68
    ensibly
    -0.68
    ©¶æ¥µ
    -0.66
    enhagen
    -0.65
    ahime
    -0.65
    POSITIVE LOGITS
    mate
    0.67
     alias
    0.65
     helper
    0.63
    yers
    0.62
     boxer
    0.60
     Spray
    0.60
     PET
    0.59
     BAR
    0.57
    gie
    0.57
     homeowner
    0.57
    Activations Density 0.000%

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