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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. 6-RES-JB
    11. 10988
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    Explanations

    phrases related to progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or advancement

    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
    inately
    -0.80
    ores
    -0.72
    iqueness
    -0.72
    ecause
    -0.69
    eer
    -0.67
    orem
    -0.67
    licted
    -0.67
    itable
    -0.67
     Bom
    -0.65
    arus
    -0.65
    POSITIVE LOGITS
    daughter
    1.04
     forward
    0.95
    step
    0.94
    isters
    0.92
    dad
    0.92
    steps
    0.90
     toward
    0.89
     steps
    0.89
    hens
    0.87
     Steps
    0.87
    Activations Density 0.025%

    No Known Activations