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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. 10-RES-JB
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    Explanations

    the word "these."

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "these" with associated numerical values indicating importance or urgency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achus
    -0.85
     Pwr
    -0.79
    terness
    -0.77
    fecture
    -0.77
    ossier
    -0.77
    ixtape
    -0.73
    onis
    -0.73
    obook
    -0.73
    ppe
    -0.72
    zzle
    -0.71
    POSITIVE LOGITS
     kinds
    1.40
     sorts
    1.38
     types
    1.19
     shores
    1.09
     developments
    1.06
     situations
    1.03
     endeavors
    1.01
     occurrences
    1.01
     truths
    1.00
     facts
    1.00
    Activations Density 0.111%

    No Known Activations