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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. 3-RES-JB
    11. 8192
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    Explanations

    references to the location 'Kan'

    oai_token-act-pair · gpt-3.5-turbo

    references to "Kan," likely indicating a focus on various contexts related to a specific location or entity associated with that name

    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
    Ö¼
    -0.85
    dinand
    -0.71
    inals
    -0.70
     Aires
    -0.70
    é¾
    -0.69
     FIGHT
    -0.68
    advertisement
    -0.66
    suit
    -0.64
    ×Ļ×
    -0.64
     BET
    -0.63
    POSITIVE LOGITS
    hof
    1.07
    ji
    1.00
    igan
    0.94
    amel
    0.94
    owa
    0.93
    awa
    0.92
    ako
    0.86
    atin
    0.86
     Kan
    0.85
    itary
    0.85
    Activations Density 0.008%

    No Known Activations