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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. 0-RES-JB
    11. 7674
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    Explanations

    words related to belittling or making derogatory comments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific words or phrases, particularly those associated with endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cephal
    -0.79
     Balt
    -0.77
    ront
    -0.74
    vict
    -0.73
     nav
    -0.72
     Relief
    -0.70
    abad
    -0.70
    jer
    -0.70
     concess
    -0.68
    nav
    -0.68
    POSITIVE LOGITS
    ittle
    1.61
    onge
    1.56
     Hollow
    1.54
    endo
    1.42
     Fury
    1.41
     Edgar
    1.24
     Fur
    1.20
    ende
    1.20
     Asheville
    1.14
     Hicks
    1.11
    Activations Density 0.059%

    No Known Activations