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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
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    oai_token-act-pair · gpt-3.5-turbo

    references to downloading or data processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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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    No Comments

    Negative Logits
    oned
    -0.87
    ruck
    -0.75
    irs
    -0.74
    rish
    -0.74
    rez
    -0.74
    lands
    -0.73
    ges
    -0.71
    bos
    -0.69
    oys
    -0.68
    ged
    -0.67
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    1.04
     Paste
    0.89
    ©¶æ¥µ
    0.79
    Ĥİ
    0.78
    \\\\\\\\
    0.78
    ĸļ
    0.77
    Merit
    0.75
    %]
    0.75
    ENGTH
    0.74
    RAW
    0.72
    Activations Density 0.014%

    No Known Activations