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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

    days of the week

    oai_token-act-pair · gpt-3.5-turbo

    references to days of the week, particularly highlighting occurrences or events associated with specific days

    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
    coat
    -0.75
    åĬ
    -0.75
    iframe
    -0.64
    colour
    -0.63
    mbuds
    -0.61
    âĸ¬âĸ¬
    -0.59
    Export
    -0.58
    sted
    -0.58
     Manip
    -0.58
    bler
    -0.57
    POSITIVE LOGITS
     afternoon
    1.79
     morning
    1.76
     evening
    1.64
     night
    1.59
    morning
    1.34
     mornings
    1.25
    night
    1.06
     evenings
    1.04
     Morning
    1.02
     nights
    1.02
    Activations Density 0.120%

    No Known Activations