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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. 3-RES-JB
    11. 20709
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    Explanations

    mentions of pedestrian-related terms such as "pedestrian," "crossing signals," "collision reports," and "pedestrian safety."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pedestrian safety and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marrow
    -0.71
    atches
    -0.70
    outube
    -0.70
    zona
    -0.69
    rays
    -0.68
    UV
    -0.67
    enta
    -0.66
    rador
    -0.64
    RAY
    -0.60
    xit
    -0.60
    POSITIVE LOGITS
     pedestrian
    1.04
     pedestrians
    1.02
     sidewalks
    0.75
     plaza
    0.74
     mall
    0.74
     crossings
    0.73
     obstruction
    0.72
     fatalities
    0.71
     traffic
    0.71
     cafes
    0.70
    Activations Density 0.015%

    No Known Activations