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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. 11-RES-JB
    11. 21727
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    Explanations

    phrases related to time durations such as "years in advance" or "months in the making"

    oai_token-act-pair · gpt-3.5-turbo

    references to time duration or repeated occurrences over a specific period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imil
    -0.74
    olitan
    -0.73
    ONSORED
    -0.72
    cientious
    -0.70
    heastern
    -0.69
    borgh
    -0.68
    SourceFile
    -0.67
    wegian
    -0.67
    ussion
    -0.66
    hirt
    -0.64
    POSITIVE LOGITS
     advance
    1.32
     succession
    0.88
     captivity
    0.80
     gestation
    0.72
     rehab
    0.68
    between
    0.68
     hindsight
    0.68
     PROG
    0.67
     progress
    0.65
     hiatus
    0.64
    Activations Density 0.067%

    No Known Activations