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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. 17198
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    Explanations

    specific mentions of chapters in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific chapters in a written work

    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
    Not in Any Lists

    No Comments

    Negative Logits
    zzle
    -0.77
    enez
    -0.75
    oggles
    -0.66
    ensing
    -0.65
    fitting
    -0.62
    pes
    -0.62
    ãĥ¤
    -0.62
    berman
    -0.61
    yre
    -0.61
    ering
    -0.60
    POSITIVE LOGITS
    ĸļ
    1.13
    naire
    0.83
     chapters
    0.81
     Chapters
    0.80
     chapter
    0.77
    icularly
    0.74
    acters
    0.73
    hound
    0.72
    naires
    0.70
     Sevent
    0.68
    Activations Density 0.040%

    No Known Activations