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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. 4048
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    oai_token-act-pair · gpt-3.5-turbo

    references to legal statutes and sections

    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
    ndra
    -0.78
    iste
    -0.71
    ammad
    -0.70
    uran
    -0.64
    abal
    -0.64
    edi
    -0.63
    bah
    -0.61
    timeout
    -0.61
    inka
    -0.60
    mast
    -0.59
    POSITIVE LOGITS
    Ń·
    0.82
    ãĥĥãĥī
    0.73
     ¶
    0.69
     Occupations
    0.68
     §§
    0.67
     reprinted
    0.64
    ĪĴ
    0.63
     Civ
    0.63
    phans
    0.63
    ģĸ
    0.62
    Activations Density 0.079%

    No Known Activations