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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
    11. 280
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    Explanations

    mentions of specialized experts or services

    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 @ 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
    bows
    -0.85
    bow
    -0.84
    à¥
    -0.80
    jiang
    -0.76
    ride
    -0.75
    spir
    -0.74
    åħī
    -0.70
    Ĥİ
    -0.68
    Closure
    -0.66
    FIN
    -0.64
    POSITIVE LOGITS
    sonian
    1.07
     specializing
    0.84
     specialize
    0.74
    worker
    0.73
    atively
    0.71
     specialists
    0.70
     specializes
    0.69
     shortages
    0.69
    ises
    0.69
     technician
    0.68
    Activations Density 0.010%

    No Known Activations