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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. 20124
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    Explanations

    phrases related to schedules and dates

    oai_token-act-pair · gpt-3.5-turbo

    time and scheduling details related to events

    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
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    No Comments

    Negative Logits
     Flavoring
    -0.84
    edi
    -0.80
    ibles
    -0.62
    dad
    -0.60
    ecd
    -0.59
     Tooth
    -0.59
     Hearing
    -0.59
    ngth
    -0.58
    anu
    -0.58
    ça
    -0.57
    POSITIVE LOGITS
     scenic
    0.74
     Broadway
    0.73
     schedule
    0.68
     weekends
    0.67
     rehearsal
    0.67
    Tickets
    0.67
     Saturdays
    0.67
    GMT
    0.66
     theaters
    0.66
     TBA
    0.66
    Activations Density 0.432%

    No Known Activations