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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. 17456
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    INDEX
    Explanations

    mentions of design aspects or specific details in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to technology and its effects

    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
    âĢ
    -0.88
     âĢ
    -0.84
    )))
    -0.78
    `.
    -0.77
    ________________________________________________________________
    -0.74
    .''.
    -0.73
     )))
    -0.73
    ''.
    -0.73
     **
    -0.72
    âĸº
    -0.72
    POSITIVE LOGITS
     hordes
    0.64
     versus
    0.63
     malls
    0.58
     sprawling
    0.58
     factories
    0.57
     empires
    0.57
     famously
    0.56
     marches
    0.56
     roses
    0.56
     oranges
    0.56
    Activations Density 1.293%

    No Known Activations