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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. 866
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    Explanations

    trucks

    oai_token-act-pair · gpt-3.5-turbo

    references to trucks and truck-related topics

    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
     Echoes
    -0.67
    nces
    -0.67
     mathemat
    -0.67
     Scholar
    -0.66
     Wong
    -0.66
     Pompe
    -0.65
     Ear
    -0.64
     Diss
    -0.64
    tml
    -0.63
    metics
    -0.62
    POSITIVE LOGITS
    loads
    1.63
    load
    1.54
    driver
    1.11
    yard
    1.11
     tractor
    1.08
     driver
    1.03
    erness
    1.02
    drivers
    1.00
     convoy
    0.95
     truck
    0.94
    Activations Density 0.052%

    No Known Activations