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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. 7-RES-JB
    6. 20948
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    Explanations

    phrases related to time frames or durations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating time-related expectations or delays

    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
    ENG
    -0.85
    VIDEO
    -0.74
    advertisement
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    haw
    -0.68
    atic
    -0.68
    rather
    -0.67
    Lenin
    -0.66
    JV
    -0.65
    ¤
    -0.64
    ãĤ´ãĥ³
    -0.64
    POSITIVE LOGITS
     returning
    0.88
     anyone
    0.87
     deciding
    0.84
     resume
    0.76
     settling
    0.76
     anybody
    0.76
     retiring
    0.76
     encountering
    0.72
     resumes
    0.72
     we
    0.70
    Activations Density 0.071%

    No Known Activations