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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. 9790
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    Explanations

    references to various types of media sources such as videos, articles, reports, and films

    oai_token-act-pair · gpt-3.5-turbo

    references to visual media and written documentation

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    emia
    -0.66
    ylan
    -0.65
    cale
    -0.65
    vantage
    -0.62
    care
    -0.61
     grad
    -0.60
     nonex
    -0.60
    ancial
    -0.60
    omething
    -0.60
     lact
    -0.59
    POSITIVE LOGITS
     above
    0.70
     titled
    0.67
     preceding
    0.67
     Volks
    0.66
    amas
    0.66
    ultimate
    0.64
     Hamm
    0.63
     Berm
    0.62
    below
    0.61
     Gle
    0.61
    Activations Density 0.229%

    No Known Activations