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

    oai_token-act-pair · gpt-3.5-turbo

    mentions of knives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isol
    -0.74
    ourced
    -0.74
    organ
    -0.73
    mberg
    -0.73
    leep
    -0.72
    rian
    -0.69
    rium
    -0.68
    bos
    -0.67
    said
    -0.67
    oric
    -0.66
    POSITIVE LOGITS
     knife
    1.23
     knives
    1.20
    knife
    1.18
     blade
    1.04
     Knife
    0.99
     blades
    0.98
     scissors
    0.89
    powder
    0.85
     slicing
    0.84
     cutter
    0.82
    Activations Density 0.012%

    No Known Activations