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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. 8-RES-JB
    11. 12622
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    Explanations

    what seems to be a mix of different languages and characters

    oai_token-act-pair · gpt-3.5-turbo

    particular characters or symbols, likely from non-standard alphabets or encoding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     trickle
    -0.72
     sustainability
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    VIDIA
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     unforeseen
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     mitigating
    -0.63
     ramifications
    -0.61
     delegate
    -0.59
     relegation
    -0.59
     attendance
    -0.58
     apex
    -0.58
    POSITIVE LOGITS
    É
    1.37
    /)
    1.14
    Ë
    1.12
    Ì
    1.09
    /,
    1.07
    Ê
    1.05
    ÏĤ
    1.04
    ËĪ
    1.04
    âĢİ
    1.02
    Äĵ
    1.00
    Activations Density 0.081%

    No Known Activations