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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    weekday morning routines and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to days of the week and morning routines

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

    No Comments

    Negative Logits
    urat
    -0.91
    urus
    -0.88
    arist
    -0.86
    erie
    -0.85
    arent
    -0.80
    igent
    -0.78
    istant
    -0.78
    ablished
    -0.77
    essee
    -0.77
    rero
    -0.75
    POSITIVE LOGITS
     mornings
    1.42
     morning
    1.13
     afternoon
    1.11
     weekday
    1.08
     nights
    1.02
     evening
    1.00
     evenings
    0.93
     Morning
    0.92
     night
    0.91
    morning
    0.88
    Activations Density 0.004%

    No Known Activations