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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. 5596
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    Explanations

    references to legal or corporate entities, such as companies or jurisdictions

    oai_token-act-pair · gpt-3.5-turbo

    references to entities and organizations

    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
    stroke
    -0.92
    geon
    -0.84
    eful
    -0.74
    ingham
    -0.73
    jin
    -0.72
    hend
    -0.70
    lake
    -0.70
    ullivan
    -0.69
    ham
    -0.69
    mith
    -0.68
    POSITIVE LOGITS
     entity
    0.90
     owned
    0.84
     owning
    0.82
     headquartered
    0.81
     controlled
    0.80
     incorpor
    0.79
     incorporated
    0.78
     sponsoring
    0.75
     entities
    0.74
     benef
    0.74
    Activations Density 0.062%

    No Known Activations