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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. 5795
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    Explanations

    legal and investigative terms related to documents and information acquisition

    oai_token-act-pair · gpt-3.5-turbo

    references to legal processes and requests for documents or information

    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
    Enjoy
    -0.83
    Interstitial
    -0.83
    ageddon
    -0.77
     Dragonbound
    -0.75
    planet
    -0.74
    rophe
    -0.73
     enjoying
    -0.72
     rejoice
    -0.72
    eq
    -0.72
    sis
    -0.71
    POSITIVE LOGITS
     documents
    1.29
     records
    1.28
     affidav
    1.27
     fingerprints
    1.25
     transcripts
    1.25
     information
    1.20
     subpoen
    1.13
     subpoena
    1.13
     evidence
    1.13
     copies
    1.12
    Activations Density 0.326%

    No Known Activations