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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
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    oai_token-act-pair · gpt-3.5-turbo

    references to autonomous vehicles and related technologies

    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
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    Negative Logits
    swick
    -0.89
    imaru
    -0.84
    ttp
    -0.79
    ings
    -0.78
     McGee
    -0.75
    rice
    -0.74
    nu
    -0.74
    tk
    -0.73
    older
    -0.73
    ocket
    -0.71
    POSITIVE LOGITS
    onomous
    1.21
     autonomous
    0.98
     robotic
    0.80
     autonom
    0.80
    onomy
    0.79
     braking
    0.79
    ¥ŀ
    0.79
     battery
    0.78
     wearable
    0.75
     controlled
    0.73
    Activations Density 0.010%

    No Known Activations