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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. 11525
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    Explanations

    mentions of negative actions or attributes, particularly related to wrongdoing or harm

    oai_token-act-pair · gpt-3.5-turbo

    terms related to malpractice

    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
     Thousand
    -0.67
     Slaughter
    -0.61
     Pound
    -0.60
     thru
    -0.58
    ZE
    -0.58
     Defenders
    -0.57
     Poe
    -0.57
     Sage
    -0.57
     moon
    -0.56
     Rabbit
    -0.56
    POSITIVE LOGITS
    ignant
    1.48
    practice
    1.37
    igned
    1.33
    adjusted
    1.30
    igning
    1.23
    adies
    1.22
    formed
    1.21
    ign
    1.20
    adapt
    1.19
    colm
    1.13
    Activations Density 0.016%

    No Known Activations