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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. 11-RES-JB
    11. 5741
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    Explanations

    words related to strictness or rigor

    oai_token-act-pair · gpt-3.5-turbo

    references to strict regulations or controls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.86
    hots
    -0.77
    amsung
    -0.76
    anders
    -0.73
    ̶
    -0.71
    thora
    -0.70
    arthed
    -0.69
    akeru
    -0.68
    pires
    -0.68
     Millions
    -0.64
    POSITIVE LOGITS
    ures
    1.30
     adherence
    1.23
     guidelines
    0.96
     enforcement
    0.95
    ness
    0.94
     criteria
    0.94
    est
    0.93
     scrutiny
    0.91
     limits
    0.91
     discipl
    0.89
    Activations Density 0.066%

    No Known Activations