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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. 16265
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    Explanations

    mentions of autonomous systems or vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to autonomous technology and vehicles

    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
    swick
    -0.80
    Ey
    -0.79
    imaru
    -0.78
    ttp
    -0.77
    tk
    -0.75
    Wa
    -0.73
    ulhu
    -0.72
    ++++++++++++++++
    -0.72
    nz
    -0.72
    Express
    -0.70
    POSITIVE LOGITS
    onomous
    1.32
     autonomous
    1.12
     autonom
    1.03
     satell
    0.88
     braking
    0.85
    ¥ŀ
    0.83
     diseng
    0.82
     lapt
    0.82
     robotic
    0.81
    irtual
    0.81
    Activations Density 0.007%

    No Known Activations