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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. 15273
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    INDEX
    Explanations

    phrases related to writing or notes, with a strong focus on the word "notebook"

    oai_token-act-pair · gpt-3.5-turbo

    references to notebooks

    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
     Blasio
    -0.70
    sex
    -0.69
    ignt
    -0.67
     Sex
    -0.65
     Beth
    -0.64
    posed
    -0.64
    arat
    -0.62
    eous
    -0.62
     Brock
    -0.62
    Sex
    -0.61
    POSITIVE LOGITS
     notebook
    3.83
     notebooks
    3.67
     diary
    1.53
     journal
    1.32
     journals
    1.32
     handwriting
    1.20
     Diary
    1.12
     paperback
    1.12
     typew
    1.11
     handwritten
    1.11
    Activations Density 0.023%

    No Known Activations