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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word 'lots'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lots" indicating abundance or quantity

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

    No Comments

    Negative Logits
    heid
    -0.89
    Adult
    -0.78
    DragonMagazine
    -0.76
    arthed
    -0.75
    tein
    -0.70
    Constructed
    -0.68
    SPONSORED
    -0.67
    estamp
    -0.67
    thren
    -0.65
    Consumer
    -0.64
    POSITIVE LOGITS
     Lots
    0.80
     amounts
    0.78
    tery
    0.77
     lots
    0.74
    creen
    0.73
    poons
    0.71
     varied
    0.70
    ortment
    0.68
    entimes
    0.68
    chool
    0.66
    Activations Density 0.017%

    No Known Activations