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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. 10-RES-JB
    11. 7125
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    Explanations

    descriptions of different weather conditions and times of day

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of weather and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afort
    -0.89
    osponsors
    -0.83
    Images
    -0.71
    units
    -0.71
    andowski
    -0.71
    artments
    -0.70
    senal
    -0.67
    pha
    -0.66
    ilib
    -0.65
    aceutical
    -0.65
    POSITIVE LOGITS
     afternoon
    1.84
     mornings
    1.83
     morning
    1.81
     evening
    1.78
     night
    1.70
     day
    1.69
     weekday
    1.67
     evenings
    1.64
     Saturday
    1.61
     nights
    1.58
    Activations Density 0.285%

    No Known Activations