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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. 13550
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    Explanations

    terms related to daily routines and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to daily routines and weekday activities

    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
    imble
    -0.73
    paralle
    -0.73
    oliath
    -0.71
     imitation
    -0.71
    criptions
    -0.71
     believable
    -0.69
     likeness
    -0.69
    bold
    -0.69
     replica
    -0.69
     credible
    -0.68
    POSITIVE LOGITS
     dinner
    1.42
     lunch
    1.40
     breakfast
    1.38
     Dinner
    1.37
     brunch
    1.36
     supper
    1.24
     Thanksgiving
    1.22
     tomorrow
    1.21
     vacation
    1.18
     afternoon
    1.12
    Activations Density 0.550%

    No Known Activations