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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. 23547
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    Explanations

    mentions related to political and social issues

    oai_token-act-pair · gpt-3.5-turbo

    sections denoted by URLs and their corresponding timestamps

    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
    interstitial
    -0.80
    Interstitial
    -0.75
    proof
    -0.74
    士
    -0.72
    secondary
    -0.70
    versions
    -0.69
    sufficient
    -0.69
    decl
    -0.68
    appropriately
    -0.67
    arters
    -0.66
    POSITIVE LOGITS
     Huffington
    0.96
     commenter
    0.95
     Gawker
    0.92
     Examiner
    0.90
     Shutterstock
    0.86
     Geek
    0.84
     Nerd
    0.83
     HuffPost
    0.83
     CNBC
    0.81
     Scroll
    0.80
    Activations Density 0.048%

    No Known Activations