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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. 9-RES-JB
    11. 15794
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    Explanations

    dates specified in text

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" used in various contexts, particularly related to time or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.69
    xiety
    -0.63
    Plot
    -0.62
    uthor
    -0.61
    lain
    -0.61
    erness
    -0.60
    arming
    -0.58
    hammad
    -0.58
    irs
    -0.58
    NetMessage
    -0.57
    POSITIVE LOGITS
     adolesc
    0.77
    ixties
    0.75
     2003
    0.75
     2004
    0.73
     2005
    0.72
     1985
    0.71
     1990
    0.70
     2007
    0.70
     1986
    0.69
     1987
    0.68
    Activations Density 0.073%

    No Known Activations