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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. 11513
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    Explanations

    terms relating to legal violations and penalties

    oai_token-act-pair · gpt-3.5-turbo

    references to legal violations or infringements

    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
    arger
    -0.83
    reens
    -0.79
    reen
    -0.70
    maid
    -0.70
    rich
    -0.69
    oiler
    -0.69
    dust
    -0.69
     Tycoon
    -0.69
     Columb
    -0.68
    ulton
    -0.68
    POSITIVE LOGITS
     violation
    1.08
     violations
    1.07
     Viol
    0.90
    viol
    0.89
     unfocusedRange
    0.80
     infring
    0.76
     Compliance
    0.76
     violating
    0.71
     violates
    0.71
     enforcement
    0.71
    Activations Density 0.013%

    No Known Activations