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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. 5564
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    Explanations

    mention of the ridesharing companies Lyft and Uber

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ride-sharing services and related content

    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
    ilon
    -0.92
    thur
    -0.91
    pee
    -0.84
    ques
    -0.83
    ibel
    -0.82
    ury
    -0.80
    ailability
    -0.80
    ascript
    -0.80
    irez
    -0.79
    quet
    -0.79
    POSITIVE LOGITS
     Swarm
    0.68
     Thrust
    0.68
    ILLE
    0.67
     Crush
    0.66
    allows
    0.63
    eyes
    0.62
    s
    0.62
    CV
    0.61
     stroke
    0.61
    stay
    0.61
    Activations Density 0.030%

    No Known Activations