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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
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    Explanations

    mentions of the term "365" in the context of different topics like business, events, and personal stories

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "365" and its variations related to Office 365

    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
    geon
    -0.92
    cloth
    -0.73
    ellen
    -0.73
    aped
    -0.73
    geons
    -0.71
    allows
    -0.70
     Eisen
    -0.69
    hran
    -0.69
    andal
    -0.67
    fram
    -0.66
    POSITIVE LOGITS
     ILCS
    1.00
    ertodd
    0.95
    cffff
    0.91
    cies
    0.88
    æ³
    0.88
    iencies
    0.82
    ï¸
    0.80
    estial
    0.80
    issance
    0.79
    à¼
    0.77
    Activations Density 0.012%

    No Known Activations