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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. 21748
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    Explanations

    descriptions of different weather conditions

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to weather and atmospheric conditions

    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
    units
    -0.80
    pees
    -0.78
    gans
    -0.75
    osponsors
    -0.72
    afort
    -0.69
    artments
    -0.67
    OTOS
    -0.67
     guiIcon
    -0.67
    pha
    -0.66
    phabet
    -0.65
    POSITIVE LOGITS
     afternoon
    1.78
     weekday
    1.71
     morning
    1.69
     evening
    1.69
     night
    1.57
     mornings
    1.56
     Saturday
    1.56
     day
    1.52
     Friday
    1.51
     Sunday
    1.49
    Activations Density 0.227%

    No Known Activations