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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. 13658
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    Explanations

    phrases related to solutions or solving problems

    oai_token-act-pair · gpt-3.5-turbo

    references to solace or solutions

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     special
    -0.75
     battered
    -0.60
    busters
    -0.59
     specials
    -0.59
    shapeshifter
    -0.58
     specialty
    -0.55
     Emer
    -0.55
    REE
    -0.54
     mail
    -0.54
    -0.54
    POSITIVE LOGITS
    stice
    1.49
    itaire
    1.29
    omon
    1.21
    icit
    1.17
    itud
    1.14
    vable
    1.14
    itary
    1.10
    zhen
    1.08
    ange
    1.06
    stitial
    1.02
    Activations Density 0.038%

    No Known Activations