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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. 9-RES-JB
    6. 14752
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    Explanations

    titles or descriptions indicating greatness or excellence in various fields such as music, film, sports, and literature

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BAT
    -0.71
    Query
    -0.66
     petitions
    -0.64
    FLAG
    -0.61
    Items
    -0.61
     vows
    -0.60
     chores
    -0.59
    rontal
    -0.59
    aleb
    -0.58
     consulate
    -0.58
    POSITIVE LOGITS
     ever
    0.87
     EVER
    0.80
     decade
    0.79
     anywhere
    0.77
     contemporary
    0.76
     history
    0.74
     eras
    0.72
     today
    0.70
     1950
    0.70
     era
    0.69
    Activations Density 0.201%

    No Known Activations