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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. 9678
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    Explanations

    phrases related to the imposition of rules, regulations, or sanctions

    oai_token-act-pair · gpt-3.5-turbo

    instances of regulations or restrictions being enacted

    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
    Not in Any Lists

    No Comments

    Negative Logits
    razil
    -0.83
    obby
    -0.79
    ilater
    -0.79
    rous
    -0.77
    rooms
    -0.77
    zo
    -0.76
    vironment
    -0.75
    room
    -0.73
    story
    -0.71
    rium
    -0.71
    POSITIVE LOGITS
     imposed
    1.09
     unnecess
    0.95
     imposition
    0.93
     exerted
    0.88
     sanctions
    0.88
     impose
    0.85
     levied
    0.85
     imposes
    0.83
     punishments
    0.83
     restrictions
    0.82
    Activations Density 0.017%

    No Known Activations