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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
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    Explanations

    the word "Rouge" in different contexts

    oai_token-act-pair · gpt-4-turbo

    proper nouns related to a specific location, including people and events associated with that location

    oai_token-act-pair · gpt-3.5-turbo

    references to Baton Rouge

    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
    ãĥĩãĤ£
    -1.02
    ãĤ¼ãĤ¦ãĤ¹
    -0.76
    olson
    -0.75
    çİĭ
    -0.73
    enegger
    -0.69
    ramid
    -0.68
    aghetti
    -0.67
    ded
    -0.67
    icably
    -0.66
    é¾įå
    -0.66
    POSITIVE LOGITS
     Rouge
    1.44
    velt
    0.78
     River
    0.76
    leans
    0.75
    ville
    0.74
    xual
    0.72
     Parish
    0.72
    anne
    0.72
    ignt
    0.71
     Royale
    0.71
    Activations Density 0.013%

    No Known Activations