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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. 11-RES-JB
    11. 21493
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    Explanations

    references to accidents or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties or losses related to events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ðŁ
    -1.06
    ðŁij
    -1.03
     ðŁ
    -1.00
     ðŁij
    -0.96
     ÂŃ
    -0.89
    âĶĢâĶĢ
    -0.88
     âĿ
    -0.86
    ï¸ı
    -0.86
    Í
    -0.85
    -0.83
    POSITIVE LOGITS
     Negro
    0.97
     satisfactory
    0.82
     appellant
    0.80
     Eisenhower
    0.79
     certific
    0.79
     automobile
    0.79
     collectors
    0.78
     examiner
    0.78
     seldom
    0.78
     insure
    0.76
    Activations Density 1.254%

    No Known Activations