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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. 9-RES-JB
    11. 5909
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest offering advice or tips

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ILCS
    -0.70
     "$:/
    -0.68
    ogen
    -0.59
     appell
    -0.58
     isolation
    -0.58
    steps
    -0.57
    gradient
    -0.56
     erect
    -0.56
     fronts
    -0.55
     intangible
    -0.55
    POSITIVE LOGITS
    psey
    0.89
    ijn
    0.74
    unts
    0.71
    ghazi
    0.66
    esi
    0.65
    aiden
    0.64
     nice
    0.64
     listen
    0.62
    gged
    0.62
    iphany
    0.61
    Activations Density 0.098%

    No Known Activations