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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. 1-RES-JB
    11. 8007
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    Explanations

    terms related to driving activities or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "driving" and related driving context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aido
    -0.80
    çĦ
    -0.76
    ellen
    -0.74
    nam
    -0.71
    oho
    -0.70
     Seym
    -0.69
    asia
    -0.69
    ereo
    -0.68
    ANN
    -0.68
    ung
    -0.67
    POSITIVE LOGITS
     driving
    1.16
     Driving
    0.97
    driving
    0.95
     drivers
    0.92
    driver
    0.87
     driver
    0.83
     Drivers
    0.83
     drove
    0.78
     headlights
    0.78
    wheel
    0.76
    Activations Density 0.012%

    No Known Activations