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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. 9-RES-JB
    11. 4764
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    keywords related to controversial actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to allegations and claims of wrongdoing or controversy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    handle
    -0.63
    \/\/
    -0.63
    Together
    -0.62
    ciating
    -0.61
    vet
    -0.59
    keys
    -0.59
     ESV
    -0.59
    lease
    -0.59
    otor
    -0.59
    Bonus
    -0.58
    POSITIVE LOGITS
     that
    0.88
     abound
    0.76
     alleging
    0.75
     of
    0.73
     suggesting
    0.73
     linking
    0.72
     circulating
    0.71
     rife
    0.70
     ranging
    0.70
     indicating
    0.70
    Activations Density 0.160%

    No Known Activations