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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. 11-RES-JB
    11. 9419
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    Explanations

    phrases involving performing actions sequentially or singularly

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a sequential or incremental process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ukong
    -0.59
    uate
    -0.57
    uesday
    -0.55
    ensor
    -0.55
    lined
    -0.55
     Borders
    -0.54
    DERR
    -0.53
     Parables
    -0.53
    ulate
    -0.52
    rost
    -0.52
    POSITIVE LOGITS
    acly
    0.68
    atro
    0.54
    com
    0.51
    gro
    0.51
    agog
    0.49
    security
    0.49
    Things
    0.49
    advertising
    0.48
     desperately
    0.48
     thing
    0.48
    Activations Density 0.468%

    No Known Activations