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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. 1-RES-JB
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    Explanations

    the name "Eric Cantor" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the political figure Eric Cantor

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    estyles
    -0.69
    sites
    -0.68
    nesota
    -0.66
    Pause
    -0.64
    skirts
    -0.64
    ences
    -0.62
    stream
    -0.60
    Asia
    -0.59
    s
    -0.59
    lease
    -0.58
    POSITIVE LOGITS
     Cantor
    1.46
     Fitzgerald
    1.12
    holder
    0.80
    ratulations
    0.77
    ware
    0.75
    sonian
    0.75
    emonium
    0.73
     divid
    0.72
     Kant
    0.72
    thal
    0.70
    Activations Density 0.008%

    No Known Activations