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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. 6-RES-JB
    11. 761
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    Explanations

    information related to time, specifically recent events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recent activities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atio
    -0.71
    emaker
    -0.65
    ater
    -0.64
    Bank
    -0.63
    uton
    -0.63
    Copy
    -0.62
    ignt
    -0.62
    CG
    -0.61
    urn
    -0.61
    Entry
    -0.60
    POSITIVE LOGITS
     headlined
    0.78
     announcing
    0.73
     Rampage
    0.72
     commenters
    0.71
     commenter
    0.71
    announced
    0.64
     spirited
    0.63
    lished
    0.63
    mber
    0.62
     publicized
    0.61
    Activations Density 0.212%

    No Known Activations