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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. 9-RES-JB
    11. 9898
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    Explanations

    proper nouns or named entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to naming examples or instances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arnaev
    -0.80
    ogn
    -0.72
    earable
    -0.66
    fram
    -0.65
    ORGE
    -0.62
    iership
    -0.62
    urgy
    -0.61
    guided
    -0.60
    mes
    -0.58
    sup
    -0.58
    POSITIVE LOGITS
    instance
    0.63
     afar
    0.61
    onest
    0.60
    laughs
    0.58
    };
    0.57
     briefly
    0.57
     Clicker
    0.57
    ENCY
    0.55
    Arcade
    0.55
     approximation
    0.55
    Activations Density 0.094%

    No Known Activations