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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. 8-RES-JB
    6. 15903
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    INDEX
    Explanations

    verbs that indicate action or activity

    oai_token-act-pair · gpt-3.5-turbo

    statements that describe the existence or presence of various concepts and elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obook
    -0.74
    ocracy
    -0.70
    esis
    -0.68
     unfocusedRange
    -0.63
    ipop
    -0.63
    aroo
    -0.62
    ographer
    -0.62
    phas
    -0.62
    phabet
    -0.59
    ropolis
    -0.58
    POSITIVE LOGITS
     respectively
    1.56
     alike
    1.26
     jointly
    1.17
     mutually
    1.13
     examples
    1.02
     trademarks
    1.00
     intertwined
    0.99
     insepar
    0.99
     fronts
    0.96
     both
    0.94
    Activations Density 0.294%

    No Known Activations