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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8794
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    INDEX
    Explanations

    superlatives and phrases indicating the highest degree or quality of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply subjectivity or evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.75
    lihood
    -0.73
    ume
    -0.71
    vale
    -0.70
    istries
    -0.69
    pection
    -0.68
    ibilities
    -0.67
    eming
    -0.67
    owship
    -0.67
    arial
    -0.66
    POSITIVE LOGITS
     coolest
    1.52
     smartest
    1.44
     toughest
    1.42
     greatest
    1.40
     biggest
    1.38
     simplest
    1.38
     weakest
    1.38
     hardest
    1.38
     finest
    1.36
     easiest
    1.36
    Activations Density 0.148%

    No Known Activations