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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. 3-RES-JB
    11. 17040
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    INDEX
    Explanations

    names containing the pattern "hn," "hl," "hm," or "hl" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific last names frequently referenced in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    âĹ¼
    -0.91
    BuyableInstoreAndOnline
    -0.83
    DragonMagazine
    -0.73
    cens
    -0.69
    multipl
    -0.68
    Pokemon
    -0.67
     indo
    -0.66
    govtrack
    -0.65
     reluct
    -0.65
    drawn
    -0.64
    POSITIVE LOGITS
    agar
    1.11
    hn
    1.03
    eman
    0.99
    quist
    0.95
    hak
    0.91
    avy
    0.89
    ohl
    0.88
    igger
    0.88
    endon
    0.87
    hardt
    0.85
    Activations Density 0.012%

    No Known Activations