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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 20002
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    Explanations

    time-related phrases or references

    oai_token-act-pair · gpt-3.5-turbo

    references to time and frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NI
    -0.83
    KK
    -0.81
    Ãį
    -0.80
    éĢ
    -0.79
    IG
    -0.78
     PU
    -0.77
    rc
    -0.77
    nc
    -0.76
    Offic
    -0.74
    GN
    -0.73
    POSITIVE LOGITS
     Time
    1.46
     time
    1.44
    Time
    1.37
     TIME
    1.36
    TIME
    1.32
    time
    1.30
     times
    1.02
    etime
    0.96
    times
    0.93
     Times
    0.87
    Activations Density 0.173%

    No Known Activations