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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. 1-RES-JB
    6. 8204
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    INDEX
    Explanations

    mentions of 'ultra' in a context that suggests uniqueness, intensity, or extremeness

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the term "ultra" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laugh
    -0.82
     Shape
    -0.80
     Burnett
    -0.77
     Manifest
    -0.73
     Bleach
    -0.72
     Landing
    -0.72
     Nights
    -0.71
    stocks
    -0.71
     Quarter
    -0.69
    nce
    -0.69
    POSITIVE LOGITS
     ultra
    1.19
    orthodox
    0.99
     ultr
    0.95
    avorite
    0.89
    entimes
    0.83
    yip
    0.83
    achev
    0.81
    thodox
    0.81
    visor
    0.80
     heavyweight
    0.79
    Activations Density 0.006%

    No Known Activations