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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. 1872
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    Explanations

    references to sports events, including scores and player actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'a' 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
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    No Comments

    Negative Logits
    encies
    -0.70
    rooms
    -0.65
     workshops
    -0.64
    notes
    -0.63
     amounts
    -0.63
     Observatory
    -0.62
     instruments
    -0.61
     scales
    -0.61
    AIDS
    -0.61
    facts
    -0.60
    POSITIVE LOGITS
     whopping
    0.94
     pair
    0.93
    venge
    0.87
     slew
    0.86
     disappointing
    0.84
     heartbreaking
    0.84
     thrilling
    0.82
     couple
    0.79
     lackluster
    0.78
     miserable
    0.78
    Activations Density 0.149%

    No Known Activations