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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. 6-RES-JB
    11. 7897
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    Explanations

    legal or official terms and requirements related to declarations, testimony, and transparency

    oai_token-act-pair · gpt-3.5-turbo

    references to legal and regulatory requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itars
    -0.68
     mell
    -0.66
     Anniversary
    -0.64
    ipel
    -0.64
    ï¸
    -0.63
     metaphors
    -0.62
     Rhythm
    -0.60
    BSD
    -0.60
     rejoice
    -0.59
     Endless
    -0.58
    POSITIVE LOGITS
     competence
    0.85
     factual
    0.78
     elector
    0.78
    udic
    0.76
     consent
    0.76
     impartial
    0.74
     dossier
    0.73
     electors
    0.73
    worthiness
    0.72
     constitu
    0.71
    Activations Density 0.803%

    No Known Activations