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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. 8-RES-JB
    11. 15045
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    Explanations

    instances where something is happening in advance of something else

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating preparation or anticipation for future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    izards
    -0.69
    ASED
    -0.66
    ASE
    -0.65
    cci
    -0.65
    pmwiki
    -0.63
    negie
    -0.62
    llular
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.62
     Pwr
    -0.62
    cu
    -0.62
    POSITIVE LOGITS
    wards
    0.87
    boards
    0.85
    Ħ¢
    0.79
    dated
    0.75
    eering
    0.72
    manship
    0.69
    taking
    0.68
    fitted
    0.67
     schedule
    0.67
    ively
    0.67
    Activations Density 0.019%

    No Known Activations