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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. 6-RES-JB
    6. 4687
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    INDEX
    Explanations

    phrases related to multimillion-dollar financial deals

    oai_token-act-pair · gpt-3.5-turbo

    references to multi-part or multi-faceted concepts

    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
     Bauer
    -0.77
     AVG
    -0.76
     Gillespie
    -0.74
     Roe
    -0.70
     Richards
    -0.70
     Polk
    -0.70
     Kenny
    -0.70
     Klu
    -0.70
     Zar
    -0.69
     McKin
    -0.69
    POSITIVE LOGITS
    dimensional
    1.27
    legged
    1.15
    ethnic
    1.13
    dollar
    1.10
    sided
    1.10
    purpose
    1.09
    edition
    1.09
    issue
    1.07
    disciplinary
    1.07
    functional
    1.07
    Activations Density 0.028%

    No Known Activations