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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. 1988
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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
    illard
    -0.81
    zza
    -0.75
    elf
    -0.73
    asant
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    iasm
    -0.66
    enza
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    {
    -0.65
    emo
    -0.64
    pell
    -0.60
    spir
    -0.59
    POSITIVE LOGITS
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    0.84
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    0.77
    ãĥīãĥ©ãĤ´ãĥ³
    0.70
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    0.70
    ãĥ¯ãĥ³
    0.67
    å§
    0.66
    =~=~
    0.66
    zai
    0.66
    ãĤĤ
    0.65
    ãĥ¬
    0.65
    Activations Density 0.000%

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