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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. 12782
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    Explanations

    words related to air travel and control, specifically air traffic control and Air Force activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to air traffic and transportation

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    AppData
    -0.77
    {"
    -0.69
    cash
    -0.69
    folk
    -0.62
    Story
    -0.61
    habi
    -0.59
     Disciple
    -0.58
     anonymous
    -0.57
    DATA
    -0.57
    wik
    -0.56
    POSITIVE LOGITS
     controllers
    0.80
     Flight
    0.73
     airspace
    0.70
    condition
    0.69
    rikes
    0.69
     flight
    0.68
    enko
    0.66
     destro
    0.66
     Pil
    0.66
    arium
    0.65
    Activations Density 0.123%

    No Known Activations