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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
    11. 10355
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    Explanations

    proper nouns with first and last names, possibly related to news articles or publications

    oai_token-act-pair · gpt-3.5-turbo

    references to dates and media entities

    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
     Wyatt
    -0.93
    809
    -0.89
    Hay
    -0.84
     Hayes
    -0.82
    ahs
    -0.80
     Flan
    -0.80
     Mc
    -0.80
    eah
    -0.79
     Seah
    -0.77
     Hills
    -0.76
    POSITIVE LOGITS
    aut
    0.99
    Simon
    0.98
    Choice
    0.97
     Cho
    0.96
     Simon
    0.95
    Cho
    0.91
     CHO
    0.85
    cho
    0.85
     cho
    0.85
    choice
    0.85
    Activations Density 0.384%

    No Known Activations