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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word "Reading" which could refer to different contexts like places, activities, or names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Reading."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     swear
    -0.71
     cooper
    -0.71
    atan
    -0.70
    amas
    -0.66
     rou
    -0.66
     vows
    -0.64
     bounty
    -0.63
     rigged
    -0.63
     land
    -0.63
    arant
    -0.63
    POSITIVE LOGITS
     Reading
    4.06
    Reading
    2.90
     reading
    2.10
     readings
    1.62
    reading
    1.62
     Reader
    1.45
     Writing
    1.41
     Readers
    1.38
     READ
    1.31
     Read
    1.28
    Activations Density 0.012%

    No Known Activations