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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

    proper nouns associated with events happening in the morning

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "morning."

    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
    essee
    -0.86
    ategory
    -0.83
    glomer
    -0.83
    negie
    -0.82
    ontent
    -0.80
    egal
    -0.80
    luster
    -0.78
    ssl
    -0.76
    alcohol
    -0.75
    eon
    -0.75
    POSITIVE LOGITS
     mornings
    0.96
     morning
    0.92
     commute
    0.84
     afternoon
    0.83
    dream
    0.81
     Morning
    0.73
     dawn
    0.71
    endment
    0.71
     night
    0.70
    night
    0.70
    Activations Density 0.022%

    No Known Activations