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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. 1691
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    Explanations

    names, specifically the name "Jake" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals named Jake

    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
     conduc
    -0.79
    iary
    -0.77
    iated
    -0.71
    amera
    -0.68
    arily
    -0.65
    ributed
    -0.65
    iaries
    -0.65
    inals
    -0.64
     subst
    -0.63
     condem
    -0.63
    POSITIVE LOGITS
    glers
    1.00
     Gy
    0.85
     Jake
    0.84
    unin
    0.84
     Skywalker
    0.82
    ansas
    0.80
     McGee
    0.79
    ango
    0.78
    warm
    0.78
    EStream
    0.76
    Activations Density 0.015%

    No Known Activations