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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. 11-RES-JB
    11. 13997
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    Explanations

    keywords related to different professions and areas of work

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various professional, technical, and institutional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agame
    -0.81
    ologue
    -0.77
    ollar
    -0.75
    osphere
    -0.70
    cosystem
    -0.69
    akening
    -0.68
    inction
    -0.68
    artment
    -0.68
    indal
    -0.66
    cale
    -0.66
    POSITIVE LOGITS
     irregularities
    1.10
     considerations
    1.03
     enhancements
    1.01
     assurances
    1.01
     duties
    1.00
     drawings
    0.99
     reinforcements
    0.99
     upgrades
    0.98
     sketches
    0.97
     similarities
    0.96
    Activations Density 0.610%

    No Known Activations