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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. 13358
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    Explanations

    references to specific dates or years

    oai_token-act-pair · gpt-3.5-turbo

    statistical references and claims about quantity or size

    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
     boots
    -0.61
    veh
    -0.55
     Yanuk
    -0.54
    iazep
    -0.52
    rador
    -0.52
     Hait
    -0.52
     helicopters
    -0.51
     Protective
    -0.51
     residential
    -0.51
    dayName
    -0.50
    POSITIVE LOGITS
     curator
    0.81
     fandom
    0.76
     Publishers
    0.76
     editors
    0.75
     canon
    0.74
     Tolkien
    0.73
     Editors
    0.72
    canon
    0.72
     numbering
    0.72
     copyright
    0.72
    Activations Density 1.375%

    No Known Activations