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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. 6-RES-JB
    11. 763
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    Explanations

    dates and temporal references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    artisan
    -0.90
    thora
    -0.77
    fman
    -0.76
    ãĤ¤ãĥĪ
    -0.76
    uliffe
    -0.75
    acons
    -0.74
    hematic
    -0.73
    ateur
    -0.72
    othing
    -0.72
    oyal
    -0.69
    POSITIVE LOGITS
     onset
    1.00
     arrival
    0.93
     commencement
    0.92
     completion
    0.85
     UTC
    0.85
     commute
    0.84
     events
    0.84
     scheduled
    0.84
     calendars
    0.83
     expiration
    0.81
    Activations Density 0.406%

    No Known Activations