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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. 1839
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    INDEX
    Explanations

    phrases related to performing actions or tasks

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "doing what" in various contexts

    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
    etheless
    -0.76
     Flavoring
    -0.71
    Footnote
    -0.61
    ebted
    -0.61
     circulation
    -0.60
    ixels
    -0.59
     glances
    -0.59
    assets
    -0.58
    inctions
    -0.58
    arer
    -0.57
    POSITIVE LOGITS
     preach
    0.93
     preached
    0.87
     gotta
    0.86
     instructed
    0.74
     normally
    0.73
     asked
    0.73
     promised
    0.73
     campaigned
    0.72
    erd
    0.69
    did
    0.68
    Activations Density 0.089%

    No Known Activations