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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. 606
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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
    rain
    -0.68
    ashtra
    -0.66
    inyl
    -0.65
    fired
    -0.65
    halla
    -0.65
    phies
    -0.64
    wash
    -0.63
    phrine
    -0.63
     ende
    -0.62
    tie
    -0.62
    POSITIVE LOGITS
    ļéĨĴ
    0.74
    aspers
    0.68
    utic
    0.68
     Rowe
    0.66
    ãģĨ
    0.63
    Frames
    0.60
    Educ
    0.60
     tense
    0.58
     chess
    0.58
    IRD
    0.57
    Activations Density 0.000%

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