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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. 9887
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    INDEX
    Explanations

    terms related to positive attributes or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    popular television shows and references to related content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    615
    -0.74
    udic
    -0.74
    20439
    -0.72
     balcon
    -0.71
    otom
    -0.69
    execute
    -0.69
    ĸļ
    -0.67
    jab
    -0.67
    utor
    -0.67
    atum
    -0.66
    POSITIVE LOGITS
     Samar
    0.90
     outweigh
    0.87
     Hunting
    0.86
     outwe
    0.81
    bye
    0.75
     luck
    0.74
    ornings
    0.71
     Practices
    0.67
     Luck
    0.67
    Evil
    0.64
    Activations Density 0.243%

    No Known Activations