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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. 11456
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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
    tone
    -0.73
    buquerque
    -0.72
    hiba
    -0.71
    aez
    -0.71
    arget
    -0.70
    robe
    -0.67
    anqu
    -0.67
    eday
    -0.67
    asses
    -0.66
    bush
    -0.65
    POSITIVE LOGITS
    ãĥ¯ãĥ³
    0.96
    Tokens
    0.82
     Conan
    0.69
    ãĥĥãĤ¯
    0.66
    uitous
    0.64
     Ethnic
    0.63
     credit
    0.63
     clearance
    0.60
     Lobby
    0.60
    ão
    0.59
    Activations Density 0.000%

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