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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3801
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    Explanations

    mention of the act of urination in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urination and associated actions or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.80
    hold
    -0.76
    note
    -0.75
    live
    -0.72
    enzie
    -0.71
    innon
    -0.70
    fort
    -0.70
    LIN
    -0.69
    craft
    -0.68
    holder
    -0.67
    POSITIVE LOGITS
     ur
    0.80
    pants
    0.78
    ysis
    0.75
     piss
    0.74
     bladder
    0.74
     pee
    0.72
     drunk
    0.71
     erection
    0.66
     crotch
    0.66
    hetically
    0.65
    Activations Density 0.031%

    No Known Activations