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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. 3-RES-JB
    11. 24247
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal filings or lawsuits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophe
    -0.85
    apo
    -0.77
    osate
    -0.74
    assi
    -0.72
    etheless
    -0.70
    schild
    -0.70
    appy
    -0.69
    oly
    -0.68
    saf
    -0.67
    onen
    -0.65
    POSITIVE LOGITS
     filed
    0.92
    Upload
    0.90
     filings
    0.89
     filing
    0.89
     paperwork
    0.84
     memos
    0.79
     descriptor
    0.79
     cabinets
    0.79
     deadlines
    0.78
     documents
    0.78
    Activations Density 0.015%

    No Known Activations