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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. 10-RES-JB
    11. 16018
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    Explanations

    words related to strictness or rigid rules

    oai_token-act-pair · gpt-3.5-turbo

    mentions of strictness or rigidity in rules, guidelines, or laws

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.80
    ovember
    -0.75
    akeru
    -0.75
    ̶
    -0.74
    assies
    -0.71
    bucks
    -0.71
    hots
    -0.70
    amsung
    -0.70
    pires
    -0.67
    udder
    -0.66
    POSITIVE LOGITS
    ures
    1.23
     adherence
    1.19
     guidelines
    0.98
     scrutiny
    0.98
     restrictions
    0.97
     enforcement
    0.96
     limits
    0.96
     discipl
    0.96
    ness
    0.93
     regulations
    0.92
    Activations Density 0.054%

    No Known Activations