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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the word "Buck" or "Buckingham" in a text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Buck" and its variations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    anyahu
    -0.69
    DNA
    -0.67
    October
    -0.65
     SERVICE
    -0.64
    isation
    -0.63
    */(
    -0.62
     NYT
    -0.62
    PsyNetMessage
    -0.62
    ournal
    -0.62
     LAW
    -0.61
    POSITIVE LOGITS
     Buck
    1.20
    minster
    1.17
    pole
    0.94
    buck
    0.90
    keye
    0.87
    buster
    0.84
    whe
    0.83
    ner
    0.81
    ston
    0.81
     buck
    0.80
    Activations Density 0.006%

    No Known Activations