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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. 7-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ´ãĥ³
    -0.75
    ĸļ
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    wagen
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     Winston
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     Lumpur
    -0.62
    çĦ
    -0.62
    Louis
    -0.60
    é¾įå¥ij士
    -0.59
    çĭ
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     Hug
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    POSITIVE LOGITS
    iband
    0.85
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    0.82
    essim
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    ructure
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    0.79
    andise
    0.76
    olia
    0.75
    ateral
    0.74
    asonic
    0.73
    ombat
    0.72
    Activations Density 0.033%

    No Known Activations