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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

    terms related to speculation and potential actions in contexts of legality and accountability

    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
    ocene
    -0.78
     Chargers
    -0.72
     grate
    -0.70
     ¶
    -0.67
     Valhalla
    -0.67
     Lama
    -0.65
    DAQ
    -0.63
     Calgary
    -0.63
     Tribune
    -0.63
     trademarks
    -0.62
    POSITIVE LOGITS
    polit
    0.79
    normal
    0.73
    otin
    0.70
    picking
    0.66
    demand
    0.65
    hig
    0.64
    urious
    0.64
    upp
    0.64
     Shap
    0.61
    oving
    0.60
    Activations Density 0.442%

    No Known Activations