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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. 12252
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    INDEX
    Explanations

    descriptions of physical attributes or objects like size, color, or material

    oai_token-act-pair · gpt-3.5-turbo

    references to large objects or quantities

    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
    SPONSORED
    -0.84
    METHOD
    -0.83
    facts
    -0.78
    pmwiki
    -0.78
    links
    -0.77
    rosso
    -0.76
    nces
    -0.75
    ilater
    -0.74
    Materials
    -0.74
    Methods
    -0.74
    POSITIVE LOGITS
     intestine
    1.13
     chunk
    1.10
     boulder
    1.07
     amount
    1.03
     diameter
    0.99
     swath
    0.98
     quantity
    0.98
     pile
    0.98
     ol
    0.97
     grin
    0.97
    Activations Density 0.107%

    No Known Activations