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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. 17986
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    Explanations

    references to professional athletes and their career progressions

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes and their career milestones

    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
    sylv
    -0.79
    ]]
    -0.73
    SOURCE
    -0.70
    SPONSORED
    -0.69
    arl
    -0.66
    Hillary
    -0.66
    CHAPTER
    -0.66
    pport
    -0.63
    ."[
    -0.63
    thur
    -0.62
    POSITIVE LOGITS
     undrafted
    1.05
     standout
    1.00
     stint
    0.99
     sensational
    0.90
     impressive
    0.90
     impress
    0.90
     disappointing
    0.88
     scouts
    0.88
     terrific
    0.86
     teammates
    0.85
    Activations Density 0.408%

    No Known Activations