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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. 9-RES-JB
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    Explanations

    days of the week

    oai_token-act-pair · gpt-3.5-turbo

    the specific mention of the day "Saturday" and its associated events

    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
    ATOR
    -0.87
    ators
    -0.77
    ate
    -0.75
    onne
    -0.74
    colour
    -0.73
    fect
    -0.73
    åĬ
    -0.70
    itsch
    -0.69
    acci
    -0.67
    egal
    -0.67
    POSITIVE LOGITS
     afternoon
    1.62
     morning
    1.57
     night
    1.55
     evening
    1.48
     mornings
    1.46
     Night
    1.35
     nights
    1.32
     Evening
    1.15
     evenings
    1.11
     Morning
    1.08
    Activations Density 0.028%

    No Known Activations