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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. 11-RES-JB
    6. 10769
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    INDEX
    Explanations

    phrases related to a variety of topics or topics with multiple elements

    oai_token-act-pair · gpt-3.5-turbo

    quantifiers and descriptors related to various categories or types of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ften
    -0.75
    enough
    -0.71
    answer
    -0.71
    aucus
    -0.70
    Enough
    -0.66
    ileaks
    -0.65
    Answer
    -0.64
    appointed
    -0.64
    actionDate
    -0.63
    />
    -0.63
    POSITIVE LOGITS
     types
    1.52
     kinds
    1.49
     aspects
    1.38
     forms
    1.24
     industries
    1.16
     facets
    1.15
     sectors
    1.10
     sorts
    1.08
     categories
    1.00
     areas
    0.97
    Activations Density 0.261%

    No Known Activations