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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. 7-RES-JB
    11. 14581
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    Explanations

    phrases related to accomplishing multiple tasks or goals concurrently

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate simultaneous actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intel
    -0.67
     Dresden
    -0.66
    moon
    -0.65
     Nor
    -0.64
     Errors
    -0.63
    bugs
    -0.63
    iren
    -0.62
     todd
    -0.62
     Ender
    -0.62
    odore
    -0.62
    POSITIVE LOGITS
     sacrificing
    1.07
     efficiently
    0.99
     leveraging
    0.98
     minimizing
    0.98
     seamlessly
    0.98
     maximizing
    0.97
     effectively
    0.96
     creating
    0.96
     cheaply
    0.96
     ensuring
    0.94
    Activations Density 0.489%

    No Known Activations