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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
    11. 8995
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    numerical data and measurements

    oai_token-act-pair · gpt-3.5-turbo

    items related to statistical data or percentages

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

    Negative Logits
    DOS
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    osate
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    pedia
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     Ves
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     Anat
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    eger
    -0.62
     Advertisement
    -0.61
    =-=-=-=-=-=-=-=-
    -0.60
    Syn
    -0.60
    phrine
    -0.60
    POSITIVE LOGITS
    MENTS
    0.71
    ãĥĹ
    0.68
    aid
    0.67
     PDT
    0.64
    ãĥĺ
    0.63
    Þ
    0.61
    ò
    0.61
     Reserve
    0.60
     PST
    0.60
    ÃĥÃĤÃĥÃĤ
    0.60
    Activations Density 0.024%

    No Known Activations