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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. 11-RES-JB
    11. 3637
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    Explanations

    phrases related to activities or events happening at particular times or involving movement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate activities or events associated with specific times of the day

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    grounds
    -0.90
    rils
    -0.75
     Actions
    -0.75
    Examples
    -0.74
    rules
    -0.70
    facts
    -0.68
    aware
    -0.67
    lang
    -0.67
     Incre
    -0.66
    rar
    -0.65
    POSITIVE LOGITS
     haircut
    1.13
     birthday
    1.05
     friend
    1.02
     meal
    0.99
     classmate
    0.98
     colleague
    0.97
     trip
    0.96
     girlfriend
    0.95
     massage
    0.94
     vacation
    0.94
    Activations Density 0.274%

    No Known Activations