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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. 13874
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    INDEX
    Explanations

    percentages or proportions related to different categories within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to proportions and contributions in statistics

    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
    intend
    -0.78
    fml
    -0.71
    Synopsis
    -0.69
     humili
    -0.61
    Attempts
    -0.61
    inventoryQuantity
    -0.59
    quickShipAvailable
    -0.58
     dare
    -0.57
    ionic
    -0.57
    laughs
    -0.55
    POSITIVE LOGITS
     roughly
    1.00
     85
    0.95
     half
    0.94
     âĪ¼
    0.93
     95
    0.93
     approximately
    0.93
     80
    0.91
     nearly
    0.91
     70
    0.91
     90
    0.90
    Activations Density 0.110%

    No Known Activations