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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. 20239
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    Explanations

    text related to behavior or codes of conduct

    oai_token-act-pair · gpt-3.5-turbo

    references to conduct or behavior standards

    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
     Nightmares
    -0.67
    Cooldown
    -0.66
     Dise
    -0.64
    ixed
    -0.63
    Dream
    -0.63
    iewicz
    -0.63
    LOAD
    -0.62
     Sabha
    -0.62
    Rated
    -0.61
    cial
    -0.61
    POSITIVE LOGITS
    onduct
    1.09
    ors
    1.01
    uations
    1.00
    ivity
    0.94
     conduct
    0.85
    ions
    0.84
    ities
    0.84
     err
    0.81
    avior
    0.80
    ional
    0.79
    Activations Density 0.014%

    No Known Activations