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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
    11. 17044
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    Explanations

    references to the year 1920

    oai_token-act-pair · gpt-3.5-turbo

    specific years and references to historical events

    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
    resso
    -0.80
    lace
    -0.77
    intosh
    -0.71
    backs
    -0.71
    rane
    -0.71
    holder
    -0.70
    yll
    -0.69
    etitive
    -0.69
    lash
    -0.68
    ensor
    -0.67
    POSITIVE LOGITS
    ãĥĥãĥĪ
    0.74
     Osw
    0.73
    1920
    0.69
    éĹĺ
    0.69
    âĢķ
    0.67
    terness
    0.67
    elsius
    0.66
    ruary
    0.66
    é¾įåĸļ士
    0.64
    iculture
    0.64
    Activations Density 0.012%

    No Known Activations