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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. 1-RES-JB
    11. 20299
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lima
    -0.65
    appropriate
    -0.65
     è£ıç
    -0.64
     detectors
    -0.62
    wrong
    -0.62
     isolate
    -0.57
     Yates
    -0.56
    resa
    -0.55
    ONES
    -0.55
     isolated
    -0.55
    POSITIVE LOGITS
    Tact
    0.90
    tion
    0.80
    tions
    0.77
     Warcraft
    0.76
    ¯¯¯¯¯¯¯¯
    0.75
    DCS
    0.75
    sed
    0.72
    ernaut
    0.72
    ————
    0.72
    Spawn
    0.69
    Activations Density 0.000%

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