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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. 9-RES-JB
    6. 20571
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    INDEX
    Explanations

    conditional statements indicating a requirement or consequence

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements that imply necessity or prerequisites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     curs
    -0.59
    kins
    -0.59
    lap
    -0.58
     blows
    -0.57
     irony
    -0.56
    utenberg
    -0.55
     neat
    -0.55
    unin
    -0.55
    CG
    -0.54
     enlight
    -0.53
    POSITIVE LOGITS
     intend
    0.75
     aspire
    0.75
     planning
    0.73
     contemplating
    0.73
    soever
    0.71
     embark
    0.69
    aping
    0.69
     intends
    0.68
    utical
    0.68
     aspiring
    0.67
    Activations Density 0.202%

    No Known Activations