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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. 7-RES-JB
    11. 22741
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    Explanations

    words and phrases related to accuracy and precision

    oai_token-act-pair · gpt-3.5-turbo

    references to precision and accuracy in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abies
    -0.77
    swick
    -0.74
    asta
    -0.69
    LAND
    -0.68
    GW
    -0.67
    imaru
    -0.67
    ONY
    -0.67
    aea
    -0.65
    Thor
    -0.65
    GAN
    -0.65
    POSITIVE LOGITS
     precision
    0.92
     pinpoint
    0.88
     deline
    0.84
    itars
    0.79
     tailored
    0.75
     tuned
    0.73
    minded
    0.73
    cise
    0.72
     calibrated
    0.72
     tuning
    0.71
    Activations Density 0.043%

    No Known Activations