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

    large numerical values, specifically hundreds

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities, specifically the term "hundred."

    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
    rang
    -0.65
    kamp
    -0.65
    beh
    -0.64
    Chart
    -0.62
    obal
    -0.61
     shortened
    -0.60
    better
    -0.59
    akers
    -0.59
    knit
    -0.57
    headers
    -0.57
    POSITIVE LOGITS
     thousand
    1.21
     Thousand
    1.04
    ousand
    1.03
    undred
    1.00
    uously
    0.92
     000
    0.91
     milliseconds
    0.85
    ths
    0.84
     pounds
    0.84
     miles
    0.83
    Activations Density 0.009%

    No Known Activations