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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. 6-RES-JB
    11. 18972
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    Explanations

    mentions of brand names or discussions about various brands

    oai_token-act-pair · gpt-3.5-turbo

    references to brands

    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
    pmwiki
    -0.82
    isite
    -0.79
    othy
    -0.72
    Jr
    -0.71
    nesota
    -0.70
    cffffcc
    -0.70
    ipeg
    -0.69
    abama
    -0.69
    ulhu
    -0.69
     Corps
    -0.68
    POSITIVE LOGITS
     brands
    0.90
     loyalty
    0.80
    Brand
    0.76
    brand
    0.76
    Cola
    0.74
    acca
    0.74
     logos
    0.71
     products
    0.71
    enburg
    0.70
    quer
    0.70
    Activations Density 0.024%

    No Known Activations