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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. 9473
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    Explanations

    phrases related to breweries and brewing companies

    oai_token-act-pair · gpt-3.5-turbo

    references to breweries and brewing companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Downloadha
    -0.89
     Telecommunications
    -0.76
    iasis
    -0.70
    arial
    -0.69
     JPM
    -0.67
     Proced
    -0.66
     FTA
    -0.65
    iane
    -0.65
    olphins
    -0.65
    isal
    -0.65
    POSITIVE LOGITS
     brewed
    1.29
    eries
    1.22
    pub
    1.14
     brewery
    1.13
     brewer
    1.08
     brew
    1.07
     beer
    1.06
     cider
    1.04
     brewing
    1.04
     beers
    1.03
    Activations Density 0.061%

    No Known Activations