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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. 2201
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    Explanations

    assertions of innocence or lack of involvement in various activities or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to crime and wrongdoing

    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
    accompan
    -0.75
     reconc
    -0.64
    adian
    -0.63
     stal
    -0.61
     snail
    -0.61
    ugi
    -0.59
     relegation
    -0.59
     seldom
    -0.58
     tert
    -0.57
     perenn
    -0.56
    POSITIVE LOGITS
     nor
    1.21
     whatsoever
    1.07
     intentionally
    1.00
     wrongdoing
    0.99
     unlawfully
    0.96
    intention
    0.96
     inappropriately
    0.94
     beforehand
    0.89
    nor
    0.88
     or
    0.86
    Activations Density 0.383%

    No Known Activations