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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. 20084
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    Explanations

    structural elements related to data or programming code

    oai_token-act-pair · gpt-3.5-turbo

    structured data or key-value pairs, likely in a programming context

    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
     Mush
    -0.79
    issance
    -0.68
     Heck
    -0.68
     Guilty
    -0.68
     Flynn
    -0.66
     Cary
    -0.65
     Yose
    -0.64
     Fine
    -0.63
     Smoke
    -0.62
     Cry
    -0.61
    POSITIVE LOGITS
    tags
    1.06
    description
    1.00
    duration
    1.00
    price
    0.97
    published
    0.95
    height
    0.94
     },
    0.93
    soType
    0.91
    priority
    0.91
    language
    0.90
    Activations Density 0.052%

    No Known Activations