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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. 4-RES-JB
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    Explanations

    words or initialisms related to locations or organizations, specifically focusing on those with the abbreviation "AZ"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the state of Arizona

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

    No Comments

    Negative Logits
    icably
    -0.69
    rons
    -0.68
    mitt
    -0.66
    atta
    -0.65
    estones
    -0.65
    istle
    -0.65
    ertility
    -0.65
    cliffe
    -0.63
    atter
    -0.63
    kinson
    -0.63
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.77
    Movie
    0.76
    Dex
    0.70
    ï¸
    0.69
    interstitial
    0.68
    hyde
    0.64
    Merit
    0.64
    liness
    0.61
    owski
    0.61
    BY
    0.60
    Activations Density 0.037%

    No Known Activations