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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. 11-RES-JB
    11. 11329
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    Explanations

    references to a group of people working together, especially in a professional context

    oai_token-act-pair · gpt-3.5-turbo

    references to crew members involved in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fasc
    -0.68
     Tend
    -0.66
     Bout
    -0.65
    æĺ
    -0.63
     Tibetan
    -0.63
     Friedman
    -0.63
     ISI
    -0.58
     Lent
    -0.58
    stract
    -0.58
     Fifa
    -0.58
    POSITIVE LOGITS
    members
    1.90
    member
    1.68
    mates
    1.40
     members
    1.15
     member
    1.10
     mates
    1.05
    wreck
    1.03
    mate
    1.03
    men
    1.01
    rons
    0.99
    Activations Density 0.042%

    No Known Activations