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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. 9915
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    Explanations

    companies and organizations in the technology and financial industries

    oai_token-act-pair · gpt-3.5-turbo

    references to various companies and industries in a corporate context

    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
     mock
    -0.73
    odcast
    -0.71
     subreddit
    -0.70
     portraits
    -0.69
    acters
    -0.69
     hashtag
    -0.68
    jad
    -0.68
     bapt
    -0.65
    pmwiki
    -0.64
     impe
    -0.63
    POSITIVE LOGITS
    Choice
    1.02
     Holdings
    0.94
     Dynamics
    0.91
     Technologies
    0.90
    Soft
    0.90
    Tel
    0.90
     Foods
    0.90
     Brands
    0.88
     Airways
    0.88
    Health
    0.87
    Activations Density 0.293%

    No Known Activations