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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. 935
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    Explanations

    time-related durations, such as days, months, and years

    oai_token-act-pair · gpt-3.5-turbo

    temporal markers related to durations and timeframes

    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
    ãĥķãĤ©
    -0.66
     Haram
    -0.65
     defe
    -0.61
    kiss
    -0.59
     resemb
    -0.59
     Pra
    -0.59
    ortunate
    -0.58
    untled
    -0.58
    rote
    -0.58
    ortment
    -0.58
    POSITIVE LOGITS
     ago
    1.12
     olds
    1.06
     increments
    1.04
     consecut
    1.02
     elapsed
    0.97
     intervals
    0.97
     apiece
    0.95
     Ago
    0.90
     gestation
    0.87
     periods
    0.84
    Activations Density 0.146%

    No Known Activations