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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. 7-RES-JB
    11. 12656
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    Explanations

    strong emotional language, particularly profanity

    oai_token-act-pair · gpt-3.5-turbo

    intense vulgar language and expressions of frustration or anger

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BIL
    -0.84
    opian
    -0.79
    knit
    -0.75
    Msg
    -0.74
    oppers
    -0.73
    anwhile
    -0.71
    ère
    -0.71
    Folder
    -0.70
    laus
    -0.68
    endant
    -0.68
    POSITIVE LOGITS
     kidding
    0.89
     bastard
    0.78
     thing
    0.78
     fucking
    0.78
     hell
    0.73
     idiot
    0.73
    THING
    0.72
     damn
    0.70
     prick
    0.70
     mess
    0.70
    Activations Density 0.037%

    No Known Activations