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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. 3-RES-JB
    11. 2827
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    Explanations

    dates (months followed by the number of the day) in textual content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific dates, particularly in March and September

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JP
    -0.74
    amines
    -0.68
    Reviewer
    -0.64
    ographed
    -0.64
     VIDEOS
    -0.64
    keyes
    -0.63
    illin
    -0.62
    Liter
    -0.62
    aughs
    -0.62
    ideo
    -0.61
    POSITIVE LOGITS
     afternoon
    0.88
     mornings
    0.86
     2015
    0.82
     2017
    0.80
     morning
    0.79
     evenings
    0.78
     2014
    0.78
     evening
    0.76
     2013
    0.76
     Harbor
    0.76
    Activations Density 0.087%

    No Known Activations