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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. 7-RES-JB
    11. 7428
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    INDEX
    Explanations

    keywords related to online searching or web browsers, especially focusing on Google searches

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to search engines, particularly Google

    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
    ework
    -0.82
    roach
    -0.77
    iets
    -0.72
    ameron
    -0.68
    owe
    -0.68
    ewitness
    -0.68
    pered
    -0.67
    ufact
    -0.66
     warm
    -0.64
    iations
    -0.64
    POSITIVE LOGITS
     queries
    1.08
     searches
    0.96
     query
    0.95
     keywords
    0.92
     lookup
    0.84
     warrants
    0.84
     indexes
    0.83
     algorithm
    0.81
     metab
    0.81
    results
    0.81
    Activations Density 0.043%

    No Known Activations