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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. 13094
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    INDEX
    Explanations

    expressions indicating skepticism or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing exaggeration or incredulity

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     largeDownload
    -0.83
    chwitz
    -0.82
    kind
    -0.81
    aldi
    -0.74
    cember
    -0.69
    ãĥĨ
    -0.66
    ftime
    -0.66
    charged
    -0.66
    flix
    -0.64
    atis
    -0.64
    POSITIVE LOGITS
     contemplate
    0.95
     withstand
    0.90
     blush
    0.84
     cope
    0.83
     bother
    0.83
     handle
    0.83
     warrant
    0.81
     feas
    0.81
     compete
    0.81
     sustain
    0.81
    Activations Density 0.099%

    No Known Activations