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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. 1-RES-JB
    11. 22793
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    Explanations

    terms related to high accuracy or exactness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accuracy and precision

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tk
    -0.80
    loo
    -0.78
    Interstitial
    -0.77
    rb
    -0.75
    Lot
    -0.75
    GW
    -0.74
    Phones
    -0.71
    Redd
    -0.68
    tha
    -0.68
    tl
    -0.68
    POSITIVE LOGITS
     precision
    1.36
     accuracy
    0.93
     inacc
    0.88
     guiActiveUn
    0.85
    cision
    0.85
     fulfillment
    0.84
     calibr
    0.80
    entimes
    0.78
    uracy
    0.77
     guided
    0.77
    Activations Density 0.008%

    No Known Activations