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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. 19505
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    oai_token-act-pair · gpt-3.5-turbo

    words related to processes of emergence or development

    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
    cloth
    -0.74
    work
    -0.67
    ãĥĨ
    -0.67
    books
    -0.66
    raq
    -0.65
    æѦ
    -0.65
    olkien
    -0.65
    duino
    -0.63
    Books
    -0.63
    llular
    -0.61
    POSITIVE LOGITS
    uez
    1.12
    ratulations
    0.87
    eness
    0.78
    edIn
    0.78
    roup
    0.77
    asus
    0.77
     neighb
    0.73
     juven
    0.72
    oing
    0.72
    oes
    0.71
    Activations Density 0.007%

    No Known Activations