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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. 10-RES-JB
    11. 918
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    Explanations

    terms related to expertise and governance

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to groups and organizations involved in scientific, regulatory, and activist activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uncture
    -0.69
    erate
    -0.63
    uberty
    -0.61
    period
    -0.61
    esan
    -0.60
     Otherwise
    -0.60
     Worker
    -0.58
    nee
    -0.58
    inventoryQuantity
    -0.58
     Citation
    -0.57
    POSITIVE LOGITS
     spanning
    1.09
     culminating
    1.03
     comprising
    0.99
     conver
    0.94
     vying
    0.94
     clustered
    0.92
     consisting
    0.89
     assembled
    0.88
     ranging
    0.88
     convened
    0.86
    Activations Density 0.300%

    No Known Activations