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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. 11487
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    Explanations

    mentions of driving, especially in relation to legal or dangerous situations

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of driving

    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
    ereo
    -0.86
    ellen
    -0.81
    ertain
    -0.74
     Seym
    -0.74
     Flavoring
    -0.73
    roma
    -0.72
    inite
    -0.71
    iao
    -0.71
    Chan
    -0.70
    ansion
    -0.70
    POSITIVE LOGITS
     driving
    1.07
    driving
    1.01
    wheel
    0.92
     Driving
    0.87
     wheel
    0.81
    bike
    0.80
     drivers
    0.77
    whe
    0.76
    driver
    0.75
     drove
    0.75
    Activations Density 0.028%

    No Known Activations