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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. 14206
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    Explanations

    ingredients used in cooking that include coconut

    oai_token-act-pair · gpt-3.5-turbo

    references to coconut

    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
    ettings
    -0.85
    inges
    -0.79
    IGH
    -0.77
    baugh
    -0.74
    IGN
    -0.73
    utherford
    -0.71
     seeker
    -0.70
    interstitial
    -0.68
    Madison
    -0.68
    alties
    -0.68
    POSITIVE LOGITS
    ensis
    0.91
     resin
    0.88
     palm
    0.87
     oil
    0.86
     Oil
    0.85
    hedral
    0.84
     coconut
    0.80
     dioxide
    0.79
     oils
    0.77
     milk
    0.77
    Activations Density 0.018%

    No Known Activations