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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. 3-RES-JB
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    Explanations

    references to the name "Rice."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Rice" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.74
    ablishment
    -0.72
    arios
    -0.71
    merce
    -0.69
    endix
    -0.68
    lehem
    -0.68
    anza
    -0.67
    eanor
    -0.67
    istical
    -0.66
    ulhu
    -0.66
    POSITIVE LOGITS
     Rice
    1.03
    cloth
    0.86
    boro
    0.81
     Kris
    0.79
     cooker
    0.78
    Ve
    0.75
    hurst
    0.74
    Gear
    0.74
    senal
    0.71
    etz
    0.70
    Activations Density 0.003%

    No Known Activations