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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. 0-RES-JB
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    Explanations

    mentions of morning activities or events

    oai_token-act-pair · gpt-3.5-turbo

    instances and references to the word "morning."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.63
    chu
    -0.63
    alties
    -0.63
    bender
    -0.62
    ollar
    -0.61
    atable
    -0.60
     Contracts
    -0.59
    ate
    -0.59
    ary
    -0.59
    vas
    -0.58
    POSITIVE LOGITS
     morning
    3.69
     afternoon
    2.84
    morning
    2.80
     evening
    2.67
     mornings
    2.65
     Morning
    2.24
    Morning
    1.96
     night
    1.94
     Evening
    1.82
     midday
    1.76
    Activations Density 0.020%

    No Known Activations