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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. 13266
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    Explanations

    names of reporters and mentions of editing or reporting in parentheses

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to editing and reporting in written content

    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
    ãģ®éŃĶ
    -0.72
     scrimmage
    -0.68
    gress
    -0.66
     "#
    -0.64
    interstitial
    -0.63
    evaluate
    -0.63
    士
    -0.63
    é¾įå¥ij士
    -0.62
    icons
    -0.61
    Ļ½
    -0.60
    POSITIVE LOGITS
     Jazeera
    0.74
     Editing
    0.73
    zbollah
    0.69
    inion
    0.68
     Lucia
    0.67
    alysed
    0.67
     Thomson
    0.66
     Associated
    0.65
     cler
    0.64
     Geneva
    0.64
    Activations Density 0.169%

    No Known Activations