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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 7603
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    Explanations

    questions about information and explanations

    oai_token-act-pair · gpt-3.5-turbo

    questions related to understanding actions, motivations, and characteristics of subjects

    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
    idon
    -0.67
    iva
    -0.66
    IFIED
    -0.65
    ocaust
    -0.65
    <
    -0.65
    rome
    -0.63
    avor
    -0.63
    pez
    -0.62
    POR
    -0.61
    OV
    -0.61
    POSITIVE LOGITS
    soever
    1.21
     accordingly
    0.92
    abouts
    0.89
     thereof
    0.87
     consequ
    0.80
     consequently
    0.78
     they
    0.75
     lengths
    0.75
     obstacles
    0.73
     pitfalls
    0.72
    Activations Density 0.132%

    No Known Activations