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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. 8-RES-JB
    11. 9902
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    Explanations

    vehicles and transportation-related terms

    oai_token-act-pair · gpt-3.5-turbo

    vehicles or incidents involving transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     satisfaction
    -0.67
    zbek
    -0.66
    taining
    -0.64
     gratification
    -0.64
     greens
    -0.64
    ophobia
    -0.63
     Extensions
    -0.62
     Areas
    -0.62
     Lauder
    -0.62
     kale
    -0.61
    POSITIVE LOGITS
     parked
    1.31
     towed
    1.23
     crashed
    1.13
     transporting
    1.12
     flown
    1.10
     refuel
    1.08
     operated
    1.08
     equipped
    1.07
     convoy
    1.05
     rotor
    1.00
    Activations Density 0.472%

    No Known Activations