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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. 10-RES-JB
    11. 21820
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    Explanations

    dates mentioned in the context of events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the day "Sunday."

    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
    ript
    -0.89
    egal
    -0.78
    ATOR
    -0.77
    raltar
    -0.77
    osponsors
    -0.75
    wered
    -0.75
    ators
    -0.75
    rador
    -0.75
    ordes
    -0.72
    wav
    -0.72
    POSITIVE LOGITS
     afternoon
    1.72
     morning
    1.62
     evening
    1.55
     night
    1.53
     mornings
    1.45
     nights
    1.25
     Night
    1.19
     Morning
    1.13
     evenings
    1.12
     brunch
    1.06
    Activations Density 0.030%

    No Known Activations