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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10219
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    INDEX
    Explanations

    corporate entities and trade-related terms

    oai_token-act-pair · gpt-3.5-turbo

    names of companies and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trope
    -0.87
     recess
    -0.81
     poem
    -0.81
     pardon
    -0.81
     literal
    -0.80
     portrait
    -0.79
     vag
    -0.77
     rhy
    -0.76
     rage
    -0.75
     narrated
    -0.75
    POSITIVE LOGITS
    Shares
    1.41
     Holdings
    1.32
    Company
    1.17
    Companies
    1.15
     Labs
    1.09
    Pay
    1.08
    Soft
    1.08
     Technologies
    1.07
     Ventures
    1.05
     Pharmaceutical
    1.05
    Activations Density 0.399%

    No Known Activations