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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. 2-RES-JB
    11. 7797
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    Explanations

    proper nouns starting with "ak" or sequences of "ak" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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
     pint
    -0.69
     Prol
    -0.68
     balloons
    -0.66
     Founders
    -0.66
     prost
    -0.63
     Weasley
    -0.63
     istg
    -0.62
    drops
    -0.62
     Fenrir
    -0.61
     steroids
    -0.60
    POSITIVE LOGITS
    arak
    1.24
    ota
    1.23
    unin
    1.16
    umar
    1.15
    ak
    1.09
    ansas
    1.08
    unta
    1.07
    owski
    1.06
    udo
    1.06
    usk
    1.05
    Activations Density 0.017%

    No Known Activations