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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. 4-RES-JB
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    Explanations

    mentions of the search engine "Bing" in relation to other search engines like Google or Yahoo

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the search engine Bing

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

    No Comments

    Negative Logits
    terday
    -0.77
     discipl
    -0.64
    IFE
    -0.63
     inadequ
    -0.62
    uador
    -0.62
    aunder
    -0.62
     {:
    -0.61
    OPE
    -0.61
    udeau
    -0.61
    士
    -0.61
    POSITIVE LOGITS
     Bing
    1.12
    ham
    1.03
     Crosby
    0.92
    legate
    0.91
    tons
    0.90
    enstein
    0.90
     Ning
    0.87
    aret
    0.82
    zeb
    0.81
    wana
    0.80
    Activations Density 0.010%

    No Known Activations