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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. 8-RES-JB
    11. 10341
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    Explanations

    names and titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    regulated
    -0.70
     resil
    -0.67
    BOOK
    -0.66
    romeda
    -0.66
    SELECT
    -0.63
    services
    -0.62
     RIGHT
    -0.62
    adapt
    -0.62
    GAME
    -0.62
    profits
    -0.62
    POSITIVE LOGITS
     Singh
    1.06
     Mohamed
    1.01
     Hasan
    1.01
     Ts
    1.00
     Abd
    1.00
     Sidd
    0.99
     Kumar
    0.99
     Sharma
    0.98
     Rahman
    0.98
     Hussain
    0.97
    Activations Density 0.362%

    No Known Activations