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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. 6-RES-JB
    11. 17529
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    Explanations

    sentence parts explaining causality or reason

    oai_token-act-pair · gpt-3.5-turbo

    reasons or causal explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ety
    -0.84
    enium
    -0.77
    ns
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    itiz
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    jad
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    Newsletter
    -0.71
    ses
    -0.70
    Hot
    -0.69
    hr
    -0.69
    eno
    -0.68
    POSITIVE LOGITS
     evidenced
    0.87
     unsus
    0.76
     overd
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     unlike
    0.65
     congr
    0.64
     mathemat
    0.63
     anecd
    0.62
    elling
    0.61
     hurd
    0.61
    arently
    0.61
    Activations Density 0.172%

    No Known Activations