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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. 1-RES-JB
    11. 20671
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    Explanations

    words related to negativity or harm

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "offensive" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chell
    -0.83
    20439
    -0.80
     Solitaire
    -0.79
    ilk
    -0.78
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.73
    Rocket
    -0.71
    Deal
    -0.71
    icles
    -0.70
    rix
    -0.70
     Clover
    -0.70
    POSITIVE LOGITS
     offensive
    1.29
    offensive
    1.07
     linemen
    0.91
     offense
    0.86
     lineman
    0.84
    thouse
    0.72
     offensively
    0.72
     Offensive
    0.69
     offence
    0.69
     foul
    0.68
    Activations Density 0.011%

    No Known Activations