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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. 4-RES-JB
    11. 7493
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Cull
    -0.70
     Jinn
    -0.69
     Echoes
    -0.69
     Packs
    -0.67
     Suit
    -0.64
     Transit
    -0.63
     Solutions
    -0.62
     Dek
    -0.61
     Syl
    -0.60
    Tel
    -0.60
    POSITIVE LOGITS
    cour
    0.84
    chery
    0.77
    CHA
    0.69
    ucha
    0.67
    pec
    0.67
    vet
    0.64
    ghazi
    0.64
    ĻĤ
    0.63
    ĵĺ
    0.63
    que
    0.63
    Activations Density 0.000%

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