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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. 9-RES-JB
    11. 17985
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    Explanations

    references to future events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to future events or considerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iquette
    -0.87
    krit
    -0.74
    ,,,,,,,,
    -0.73
    ylum
    -0.72
    asket
    -0.70
    ismo
    -0.70
    assin
    -0.70
    ucker
    -0.69
    utenant
    -0.69
    cko
    -0.69
    POSITIVE LOGITS
     generations
    1.75
     iterations
    1.43
     installments
    1.42
     editions
    1.33
     versions
    1.20
     administrations
    1.20
     developments
    1.15
     episodes
    1.13
     batches
    1.11
     pregnancies
    1.11
    Activations Density 0.104%

    No Known Activations