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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14227
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    Explanations

    the number "dozen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "dozen" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hra
    -0.73
    estine
    -0.73
    claimed
    -0.71
     mathemat
    -0.70
    bro
    -0.69
    ufact
    -0.66
    lands
    -0.65
    ICO
    -0.61
    otto
    -0.61
    itter
    -0.60
    POSITIVE LOGITS
     Thousand
    0.98
    acity
    0.96
     thousand
    0.96
    uous
    0.88
    uously
    0.87
     dozen
    0.85
     consecutive
    0.82
     IMAGES
    0.80
     iterations
    0.77
    dozen
    0.77
    Activations Density 0.018%

    No Known Activations