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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. 18481
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    INDEX
    Explanations

    dates mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the day "Friday"

    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
    ership
    -0.86
    abet
    -0.82
    ports
    -0.77
    ris
    -0.76
    respons
    -0.76
    hip
    -0.75
    lessly
    -0.74
    vironment
    -0.72
    aeda
    -0.72
    naire
    -0.71
    POSITIVE LOGITS
     morning
    1.44
     afternoon
    1.41
     mornings
    1.23
     night
    1.21
     evening
    1.20
     Night
    1.14
     nights
    1.02
    morning
    0.94
     Friday
    0.91
    Night
    0.89
    Activations Density 0.024%

    No Known Activations