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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. 20483
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    Explanations

    mentions of the search engine "Bing" with varying levels of association

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and mentions of the word "Bing."

    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
    terday
    -0.80
     {:
    -0.74
    IFE
    -0.72
    OPE
    -0.67
    CLASSIFIED
    -0.65
    MAG
    -0.64
    OURCE
    -0.64
    riors
    -0.64
    aunder
    -0.63
    ributes
    -0.63
    POSITIVE LOGITS
    ham
    1.12
     Bing
    1.03
     Crosby
    1.00
    tons
    0.87
     Ning
    0.87
    enstein
    0.85
    aret
    0.83
    zhou
    0.79
     Panda
    0.77
    olean
    0.75
    Activations Density 0.036%

    No Known Activations