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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. 7-RES-JB
    11. 7382
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    Explanations

    words related to titles or names of movies, books, or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of characters and titles from popular culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.58
    terday
    -0.57
    ãĥ¡
    -0.56
    ä
    -0.53
    restling
    -0.53
    ãĤ¢ãĥ«
    -0.52
    ãĤ´ãĥ³
    -0.52
    NetMessage
    -0.51
    Ô
    -0.51
     weddings
    -0.50
    POSITIVE LOGITS
    osphere
    0.84
    cients
    0.82
    iest
    0.77
    liest
    0.71
    same
    0.70
    highest
    0.67
    est
    0.66
     highest
    0.65
    most
    0.64
    ultimate
    0.61
    Activations Density 0.655%

    No Known Activations