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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. 2-RES-JB
    11. 5852
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    Explanations

    phrases related to strict rules or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to strictness or stringent regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ****
    -0.75
    ilater
    -0.75
    ****************
    -0.72
     Cork
    -0.70
    assies
    -0.70
     Peninsula
    -0.70
    ********
    -0.70
    tainment
    -0.68
    igate
    -0.67
    NetMessage
    -0.66
    POSITIVE LOGITS
    ures
    1.14
     adherence
    1.08
     strict
    1.00
    ness
    0.99
     adherent
    0.96
     scrutiny
    0.93
    nesses
    0.90
     enforcement
    0.88
    est
    0.85
     restrictive
    0.82
    Activations Density 0.014%

    No Known Activations