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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. 3-RES-JB
    11. 24331
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    Explanations

    mention of moisture-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to moisture and humidity levels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rams
    -0.75
    umbn
    -0.72
    inez
    -0.69
     Pengu
    -0.69
    fig
    -0.67
    McC
    -0.67
    inosaur
    -0.66
    leon
    -0.65
    sonian
    -0.65
    unes
    -0.65
    POSITIVE LOGITS
     moisture
    1.02
     destro
    0.95
     moist
    0.90
     dissip
    0.81
     engulf
    0.80
    iencies
    0.80
     confir
    0.80
     insulation
    0.79
     airflow
    0.79
     glands
    0.78
    Activations Density 0.008%

    No Known Activations