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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. 4-RES-JB
    11. 13372
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    Explanations

    unique and intricate designs

    oai_token-act-pair · gpt-3.5-turbo

    references to creative or artistic designs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    neau
    -0.67
    nie
    -0.66
     Arist
    -0.66
     Elijah
    -0.66
    ishops
    -0.65
     Elias
    -0.63
    essional
    -0.62
    ni
    -0.62
     Baptist
    -0.62
     Inquis
    -0.61
    POSITIVE LOGITS
    heet
    0.93
    plates
    0.87
     designs
    0.84
    paces
    0.84
    hops
    0.83
     etched
    0.82
    peed
    0.79
    pace
    0.78
    isine
    0.78
     layouts
    0.75
    Activations Density 0.021%

    No Known Activations