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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. 6-RES-JB
    6. 14071
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    Explanations

    phrases related to heat or heating systems

    oai_token-act-pair · gpt-3.5-turbo

    references to heat as a concept or phenomenon

    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
    VICE
    -0.82
    allery
    -0.74
     Mandela
    -0.74
     Goff
    -0.73
    RB
    -0.70
    theless
    -0.68
    vous
    -0.68
    âĢ¢âĢ¢
    -0.67
     Geographic
    -0.66
     Columbia
    -0.65
    POSITIVE LOGITS
    hens
    1.29
    seekers
    0.98
    waves
    0.97
    wave
    0.95
    stroke
    0.90
     oven
    0.88
    hen
    0.87
    heat
    0.85
    Heat
    0.80
     exhaustion
    0.79
    Activations Density 0.029%

    No Known Activations