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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. 5020
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    INDEX
    Explanations

    comparisons of different factors in research studies

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases regarding health and demographics

    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
    ãĤ¡
    -0.74
    iHUD
    -0.69
    inventoryQuantity
    -0.69
     Arbit
    -0.67
    Laun
    -0.66
    Planet
    -0.65
     Crafting
    -0.65
    Animation
    -0.63
    inho
    -0.61
    Rocket
    -0.60
    POSITIVE LOGITS
     counterparts
    1.17
     peers
    1.09
     those
    1.04
    average
    0.99
     nons
    0.99
     adults
    0.98
     others
    0.96
     nont
    0.95
     untreated
    0.95
     unex
    0.91
    Activations Density 0.198%

    No Known Activations