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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. 1637
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    Explanations

    phrases related to written communication and specific names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific terms related to categories or classifications

    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
    agra
    -0.91
    agen
    -0.76
    aged
    -0.75
    agers
    -0.74
    rior
    -0.69
    zona
    -0.68
    arte
    -0.68
    igators
    -0.67
    ellar
    -0.67
    ager
    -0.67
    POSITIVE LOGITS
    \\\\\\\\
    0.80
     Tale
    0.78
    ical
    0.74
    ãĤī
    0.74
    DragonMagazine
    0.74
    isms
    0.74
    kefeller
    0.74
    å¼
    0.73
     Halls
    0.68
    isy
    0.68
    Activations Density 0.194%

    No Known Activations