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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. 10-RES-JB
    6. 290
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    Explanations

    keywords related to search engine optimization (SEO) and online marketing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to online marketing and search engine optimization metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.83
     Okin
    -0.81
    aq
    -0.80
     reconstruction
    -0.78
     Reconstruction
    -0.76
     Goddard
    -0.74
    ajor
    -0.74
    utonium
    -0.72
     dismantled
    -0.72
     amput
    -0.72
    POSITIVE LOGITS
     SEO
    1.64
     marketers
    1.61
     marketing
    1.41
     influ
    1.38
     Marketing
    1.37
     clicks
    1.35
     advertisers
    1.34
    vertis
    1.33
    advertising
    1.32
     ads
    1.27
    Activations Density 0.657%

    No Known Activations