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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. 4-RES-JB
    11. 16416
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    Explanations

    instances of speeding or traffic-related events

    oai_token-act-pair · gpt-3.5-turbo

    references to traffic violations and reckless driving

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

    No Comments

    Negative Logits
     Flavoring
    -1.03
    sonian
    -0.98
    DragonMagazine
    -0.92
    aceutical
    -0.80
    Tea
    -0.76
    andestine
    -0.73
    ulhu
    -0.72
    _>
    -0.71
    xus
    -0.71
    pha
    -0.70
    POSITIVE LOGITS
     motorists
    1.06
     err
    1.01
     drivers
    0.99
     traffic
    0.97
     bicycl
    0.94
     Interstate
    0.92
     driver
    0.91
     congestion
    0.91
     Drivers
    0.88
     collisions
    0.88
    Activations Density 0.162%

    No Known Activations