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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. 6-RES-JB
    6. 24114
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    INDEX
    Explanations

    references to the success, impact, and characteristics of films and TV series

    oai_token-act-pair · gpt-3.5-turbo

    aspects of film and television series structure and success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.76
     FSA
    -0.69
    upper
    -0.68
     delegation
    -0.68
    reek
    -0.68
    claw
    -0.67
    Hat
    -0.67
    POL
    -0.66
    reen
    -0.66
    ERC
    -0.66
    POSITIVE LOGITS
     premiered
    1.17
     sequels
    1.14
     starring
    1.12
     sequel
    1.07
     cinematic
    1.06
     cinem
    1.02
     epis
    0.98
     protagonist
    0.93
    Writer
    0.93
     subtitle
    0.93
    Activations Density 0.706%

    No Known Activations