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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. 1505
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    INDEX
    Explanations

    references to journals or diaries, especially ones related to personal experiences and narratives

    oai_token-act-pair · gpt-3.5-turbo

    references to diary entries

    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
    unders
    -0.76
    roup
    -0.72
    plex
    -0.71
    ateral
    -0.68
    uate
    -0.67
     Athletic
    -0.67
    ucha
    -0.66
    entimes
    -0.65
    und
    -0.64
     franch
    -0.62
    POSITIVE LOGITS
     diary
    3.69
     Diary
    2.96
     notebook
    1.24
     journal
    1.20
     Journals
    1.11
     notebooks
    1.09
     questionnaire
    1.06
     curfew
    1.01
     autobiography
    0.93
     wallpaper
    0.89
    Activations Density 0.029%

    No Known Activations