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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. 8-RES-JB
    11. 10269
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    Explanations

    words related to time, specifically years and days

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and temporal elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ité
    -0.64
    enko
    -0.63
     charity
    -0.62
    ection
    -0.59
    AAF
    -0.57
     Borders
    -0.56
    ESCO
    -0.56
     Poe
    -0.56
    KEN
    -0.56
     Hardy
    -0.55
    POSITIVE LOGITS
    ouses
    0.87
    worms
    0.84
    wise
    0.82
    ually
    0.79
    book
    0.79
    trip
    0.79
    itud
    0.79
    long
    0.78
    changing
    0.77
    time
    0.77
    Activations Density 0.156%

    No Known Activations