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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. 13836
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    Explanations

    text related to legal documents, specifically affidavits

    oai_token-act-pair · gpt-3.5-turbo

    references to legal documents, specifically affidavits

    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
    soDeliveryDate
    -0.87
    liness
    -0.83
    zman
    -0.81
    fare
    -0.81
    oho
    -0.81
    ney
    -0.79
    bie
    -0.78
    bard
    -0.75
    neys
    -0.74
    ewater
    -0.73
    POSITIVE LOGITS
    uates
    0.80
    uary
    0.73
     blo
    0.73
     mund
    0.71
    uate
    0.69
     orbs
    0.67
    uating
    0.63
     bloom
    0.62
    orescence
    0.61
    uries
    0.60
    Activations Density 0.133%

    No Known Activations