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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. 1354
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    Explanations

    date and location references in news articles

    oai_token-act-pair · gpt-3.5-turbo

    events and scheduled occurrences

    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
     Kafka
    -0.76
    76561
    -0.72
     Grimoire
    -0.71
     Inquisition
    -0.69
    ItemTracker
    -0.69
     Warp
    -0.67
     Rowling
    -0.67
     Crus
    -0.67
    notations
    -0.66
     Princ
    -0.65
    POSITIVE LOGITS
    ,...
    0.90
     Caption
    0.76
    billion
    0.76
     ........
    0.72
     UNITED
    0.72
     ..."
    0.69
    ASHINGTON
    0.68
    ulton
    0.66
     ......
    0.66
     REUTERS
    0.65
    Activations Density 0.335%

    No Known Activations