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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. 9-RES-JB
    11. 4747
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    Explanations

    descriptions related to driving incidents and related activities

    oai_token-act-pair · gpt-3.5-turbo

    details related to driving incidents and vehicular activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -0.80
     implants
    -0.78
     diplom
    -0.73
    awaru
    -0.73
     enshr
    -0.71
     parchment
    -0.70
     vows
    -0.69
     tongue
    -0.69
     priest
    -0.67
    beard
    -0.67
    POSITIVE LOGITS
     Highway
    1.14
     driveway
    1.12
     Interstate
    1.11
     traffic
    1.11
     highway
    1.11
     Traffic
    1.10
     freeway
    1.09
     roadway
    1.07
     lanes
    1.07
     pedestrians
    1.05
    Activations Density 0.334%

    No Known Activations