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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. 21824
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    Explanations

    discussion about sports players and their potential impact or performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential career advancement or recognition

    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
    pmwiki
    -0.71
    avoid
    -0.63
    zn
    -0.62
     Shib
    -0.60
     incap
    -0.60
    Plot
    -0.60
     neglect
    -0.60
     Cruel
    -0.59
    Shares
    -0.59
     therm
    -0.56
    POSITIVE LOGITS
     someday
    1.19
     NHL
    0.92
    iership
    0.90
     superstar
    0.89
     greatness
    0.89
     contender
    0.88
     NFL
    0.88
     NBA
    0.86
     starter
    0.86
     meaningful
    0.82
    Activations Density 0.362%

    No Known Activations