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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. 2-RES-JB
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    INDEX
    Explanations

    mentions of specialists or expert professionals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specialists in various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jiang
    -0.83
    spir
    -0.79
    bow
    -0.72
    à¥
    -0.71
    bows
    -0.69
    imm
    -0.67
    oÄŁ
    -0.66
    eli
    -0.65
    åħī
    -0.64
    ride
    -0.64
    POSITIVE LOGITS
    sonian
    1.05
     specialists
    0.85
     specializing
    0.83
     specialist
    0.82
    ises
    0.80
     technician
    0.79
     specialize
    0.76
     specializes
    0.75
    worker
    0.72
    erto
    0.70
    Activations Density 0.012%

    No Known Activations