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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. 17724
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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
    ĨĴ
    -0.82
    £ı
    -0.81
    verning
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    ichen
    -0.77
    icz
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    enter
    -0.76
    emort
    -0.75
     condol
    -0.75
    entric
    -0.75
    æ³
    -0.74
    POSITIVE LOGITS
     Reloaded
    0.82
     incentives
    0.69
    heimer
    0.65
     Pigs
    0.65
     Haas
    0.65
     Mutant
    0.63
     Reduction
    0.63
     Reborn
    0.62
     Haf
    0.61
     verbs
    0.61
    Activations Density 0.000%

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