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

    mentions of the day "Monday" occurring in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Monday" followed by a number

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ript
    -0.91
    iframe
    -0.85
    onductor
    -0.79
    ordes
    -0.78
    åĬ
    -0.77
    riter
    -0.74
    ribe
    -0.72
    keye
    -0.72
    ategory
    -0.70
    respons
    -0.70
    POSITIVE LOGITS
     morning
    1.66
     afternoon
    1.65
     night
    1.65
     evening
    1.59
     Night
    1.36
     mornings
    1.33
    morning
    1.26
     nights
    1.23
     evenings
    1.09
     Morning
    1.02
    Activations Density 0.051%

    No Known Activations