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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. 5246
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    Explanations

    keywords and phrases related to online marketing and sales strategies, specifically focusing on search keywords, website content, and sales funnels

    oai_token-act-pair · gpt-3.5-turbo
    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
     recess
    -0.80
     Okin
    -0.78
    BSD
    -0.76
     asylum
    -0.76
    aq
    -0.75
    ajor
    -0.75
     Starfleet
    -0.73
     Fukushima
    -0.73
     Bundy
    -0.73
     refuge
    -0.72
    POSITIVE LOGITS
     SEO
    1.70
     marketers
    1.69
     Marketing
    1.41
     marketing
    1.40
     monet
    1.35
     Analytics
    1.31
     CTR
    1.31
     analytics
    1.30
     advertisers
    1.27
     Advertising
    1.27
    Activations Density 0.661%

    No Known Activations