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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. 11-RES-JB
    11. 1123
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    Explanations

    texts related to the dissemination or leaking of information, particularly involving official documents

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities of documents or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wisely
    -0.70
    vantage
    -0.68
    tackle
    -0.68
    undai
    -0.66
     innov
    -0.64
     trope
    -0.64
     beginners
    -0.64
     realism
    -0.64
    Slot
    -0.63
    reprene
    -0.63
    POSITIVE LOGITS
     transcripts
    1.76
     documents
    1.56
     recordings
    1.40
     emails
    1.40
     memos
    1.39
     transcript
    1.38
     tapes
    1.33
     records
    1.28
     redacted
    1.27
     files
    1.27
    Activations Density 0.380%

    No Known Activations