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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
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    Explanations

    information related to technological advancements and predictions

    oai_token-act-pair · gpt-3.5-turbo

    predictions about future technology markets and trends

    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
     Tours
    -0.66
    FIN
    -0.64
     Sons
    -0.63
    ARR
    -0.62
    Ö¼
    -0.61
     Saul
    -0.60
    Ur
    -0.59
     surname
    -0.59
    cember
    -0.58
    iHUD
    -0.57
    POSITIVE LOGITS
     prolifer
    1.18
     unregulated
    0.84
     themselves
    0.81
     abound
    0.79
     routinely
    0.77
     everywhere
    0.74
     plentiful
    0.72
    exist
    0.71
     outper
    0.70
     detectors
    0.70
    Activations Density 0.696%

    No Known Activations