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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the term "wa" in the text

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "wa."

    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
     CTR
    -0.76
     antip
    -0.76
     antit
    -0.72
     Cit
    -0.72
     Sage
    -0.62
     spawn
    -0.62
     Corey
    -0.60
     entities
    -0.60
     mixed
    -0.59
     integ
    -0.59
    POSITIVE LOGITS
    wa
    4.51
    Wa
    2.04
    wan
    1.71
     Wa
    1.61
    wait
    1.60
    wi
    1.58
    WA
    1.54
    wo
    1.41
    wat
    1.35
    w
    1.35
    Activations Density 0.004%

    No Known Activations