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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. 1842
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    INDEX
    Explanations

    mentions of the word "Avatar" and related terms, specifically in the context of a specific franchise or character

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Zaheer" and the "Avatar" franchise

    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
    tesy
    -0.83
    lisher
    -0.80
     Turing
    -0.77
    rd
    -0.74
    fol
    -0.71
    LOS
    -0.71
    sburgh
    -0.71
    sis
    -0.70
    shire
    -0.70
    marks
    -0.70
    POSITIVE LOGITS
     Korra
    0.91
     Ukrain
    0.85
     Za
    0.81
     Smoking
    0.78
     Avatar
    0.76
    umat
    0.74
     Vent
    0.72
     inhal
    0.71
    Lens
    0.71
    eki
    0.70
    Activations Density 0.027%

    No Known Activations