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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. 7-RES-JB
    11. 14119
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    INDEX
    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people, events, or organizations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    angelo
    -0.63
    20439
    -0.61
    zona
    -0.60
    natureconservancy
    -0.59
    ccording
    -0.59
    TAIN
    -0.58
    emouth
    -0.57
    DragonMagazine
    -0.57
    Letter
    -0.57
    taboola
    -0.57
    POSITIVE LOGITS
    telling
    0.55
    beck
    0.53
    writing
    0.52
    inki
    0.51
    clinton
    0.49
    matter
    0.49
    abad
    0.49
    enegger
    0.48
     tears
    0.48
    iday
    0.48
    Activations Density 0.751%

    No Known Activations