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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the word "Again."

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "again."

    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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    No Comments

    Negative Logits
    ottage
    -0.81
    izons
    -0.74
    eers
    -0.72
    rament
    -0.72
    ocene
    -0.70
    arthed
    -0.65
    prus
    -0.63
    oreal
    -0.63
    avez
    -0.62
    rers
    -0.62
    POSITIVE LOGITS
    adays
    0.76
    tical
    0.73
    speaking
    0.71
    using
    0.69
     quoting
    0.68
     echoing
    0.67
    entimes
    0.67
    here
    0.67
     illustrating
    0.66
     invoking
    0.65
    Activations Density 0.021%

    No Known Activations