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    1. Home
    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. 4721
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    Explanations

    references to events or behaviors that occurred in the past

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "past."

    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
     Franch
    -0.75
    wagon
    -0.71
    hat
    -0.66
    oola
    -0.65
    utters
    -0.60
    atism
    -0.60
    NEY
    -0.59
    rapnel
    -0.59
    BuyableInstoreAndOnline
    -0.59
    ithmetic
    -0.59
    POSITIVE LOGITS
    ebin
    1.42
     tense
    1.11
     decade
    0.99
     week
    0.79
     month
    0.78
    iche
    0.77
    ĸļ
    0.75
    orate
    0.73
     semester
    0.73
     few
    0.72
    Activations Density 0.023%

    No Known Activations