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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. 12785
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    INDEX
    Explanations

    positive sentiments and emotional reactions expressed in text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or the desire for pleasant experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    bers
    -0.58
    berra
    -0.57
     \'
    -0.56
    advertisement
    -0.56
    Downloadha
    -0.54
    ongh
    -0.53
    ggles
    -0.51
    è¦ļéĨĴ
    -0.50
    lings
    -0.50
    java
    -0.49
    POSITIVE LOGITS
     if
    1.24
    if
    0.79
     IF
    0.71
     unless
    0.69
    lund
    0.68
    abet
    0.66
    provided
    0.64
    ishi
    0.63
    quet
    0.63
    roth
    0.62
    Activations Density 0.138%

    No Known Activations