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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. 1-RES-JB
    6. 8116
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    INDEX
    Explanations

    abstract concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    references to abstraction 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
    ICAN
    -0.74
    cca
    -0.71
    oda
    -0.69
    ACY
    -0.66
    ods
    -0.66
    risome
    -0.66
    attering
    -0.65
    owder
    -0.64
    kers
    -0.63
    tes
    -0.62
    POSITIVE LOGITS
    stract
    1.27
     abstract
    1.25
    Abstract
    0.99
     abstraction
    0.94
     algebra
    0.87
    edIn
    0.82
     Abstract
    0.82
     toile
    0.80
    ertation
    0.79
    ¥µ
    0.78
    Activations Density 0.007%

    No Known Activations