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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. 5-RES-JB
    6. 13105
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    INDEX
    Explanations

    quantitative terms and measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantification and measurement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    HOME
    -0.84
    lihood
    -0.77
     Archdemon
    -0.69
     blades
    -0.68
     spare
    -0.65
     Mansion
    -0.62
    aples
    -0.60
    nen
    -0.60
     Odin
    -0.60
     Fav
    -0.59
    POSITIVE LOGITS
    itatively
    1.43
     quant
    1.08
    imet
    1.05
    ifiable
    1.01
    itative
    0.92
    idian
    0.91
    ified
    0.88
    eros
    0.86
    ifies
    0.85
    rill
    0.82
    Activations Density 0.015%

    No Known Activations