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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    instances of the word "Swan" in the document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, particularly "Swan" and "ze."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onica
    -0.82
    oslov
    -0.74
     jaws
    -0.69
    usalem
    -0.68
    gments
    -0.67
    rats
    -0.66
     droid
    -0.63
    prus
    -0.62
     zeal
    -0.62
     cohesion
    -0.62
    POSITIVE LOGITS
     Swan
    0.86
    pole
    0.81
    debian
    0.79
    pour
    0.77
     Recommended
    0.75
    draft
    0.74
    GROUND
    0.73
     DeVos
    0.72
    Demand
    0.71
    icrobial
    0.70
    Activations Density 0.028%

    No Known Activations