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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. 0-RES-JB
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    Explanations

    mentions of trucks

    oai_token-act-pair · gpt-3.5-turbo

    references to trucks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iae
    -0.87
    parency
    -0.75
    ieties
    -0.73
    AMES
    -0.71
     Ages
    -0.70
    iris
    -0.69
     Contents
    -0.69
    Against
    -0.69
     Saunders
    -0.67
    nces
    -0.67
    POSITIVE LOGITS
     truck
    3.54
     trucks
    2.97
     Truck
    2.88
     tanker
    1.77
     tractor
    1.74
    ruck
    1.72
     Jeep
    1.60
     SUV
    1.56
     pickup
    1.54
     wagon
    1.50
    Activations Density 0.018%

    No Known Activations