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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. 12883
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    Explanations

    time-related terms such as days, weeks, months, and years

    oai_token-act-pair · gpt-3.5-turbo

    time-related terms and phrases, particularly those indicating weeks, days, and months

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    risome
    -0.64
     unfocusedRange
    -0.64
    zsche
    -0.63
    ictive
    -0.62
    ategor
    -0.61
    ortium
    -0.61
    overty
    -0.61
    athy
    -0.61
    emale
    -0.59
    adena
    -0.58
    POSITIVE LOGITS
     of
    0.89
    imester
    0.88
     thereof
    0.84
    nings
    0.81
    liest
    0.73
    endment
    0.73
    of
    0.72
    uary
    0.71
    anza
    0.70
    Of
    0.70
    Activations Density 0.120%

    No Known Activations