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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. 7-RES-JB
    11. 18785
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    Explanations

    time-related expressions and durations

    oai_token-act-pair · gpt-3.5-turbo

    temporal phrases indicating durations of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     maturity
    -0.77
     guiActiveUn
    -0.76
    alg
    -0.72
    obin
    -0.71
    icer
    -0.69
     aggregation
    -0.69
    achev
    -0.68
    Firstly
    -0.67
    emption
    -0.66
    hetically
    -0.64
    POSITIVE LOGITS
     Wond
    0.73
     uninterrupted
    0.67
     puzzled
    0.67
     silence
    0.65
     Jonas
    0.64
    SPONSORED
    0.62
     devoted
    0.62
    DEN
    0.62
     fearing
    0.61
     Gund
    0.60
    Activations Density 0.124%

    No Known Activations