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

    proper nouns related to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographic locations, particularly "Knox" and "Kingston."

    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
    ORGE
    -0.79
    uve
    -0.70
    hetical
    -0.66
    ugu
    -0.65
    eways
    -0.63
    dule
    -0.62
    alg
    -0.62
    gypt
    -0.61
    ebus
    -0.61
    ressive
    -0.60
    POSITIVE LOGITS
     Knox
    1.44
    ville
    1.20
    burgh
    0.94
    creen
    0.79
    combe
    0.78
    jer
    0.77
     Polk
    0.74
     Ridge
    0.74
    hyde
    0.72
    keye
    0.72
    Activations Density 0.003%

    No Known Activations