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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the Filipino word "na" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "na" and its variations, indicating emphasis or connection in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceous
    -0.92
    wig
    -0.76
    hetti
    -0.75
    killer
    -0.74
    advertisement
    -0.74
    esley
    -0.71
     Crus
    -0.71
    steam
    -0.70
    âĶģ
    -0.70
    maps
    -0.70
    POSITIVE LOGITS
    vel
    1.03
     lang
    1.00
     na
    0.84
     compr
    0.80
    veland
    0.79
     cart
    0.79
    uthor
    0.79
    ï
    0.77
    uine
    0.71
    ven
    0.70
    Activations Density 0.011%

    No Known Activations