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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. 3-RES-JB
    11. 13291
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    Explanations

    phrases related to professional standards or regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to professional or educational standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    seat
    -0.81
     Rove
    -0.77
    ston
    -0.75
    resent
    -0.73
    lez
    -0.72
    hs
    -0.71
     Sins
    -0.70
    iversary
    -0.68
    azon
    -0.68
    rontal
    -0.67
    POSITIVE LOGITS
     standards
    1.04
     deviations
    1.04
     compliant
    0.94
     deviation
    0.94
    DragonMagazine
    0.87
     bearer
    0.85
    é¾įå¥ij士
    0.81
     protocols
    0.76
     Standards
    0.75
    iblings
    0.74
    Activations Density 0.019%

    No Known Activations