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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. 14415
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    oai_token-act-pair · gpt-3.5-turbo

    context related to significant features or descriptions of items

    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
    taking
    -0.78
    laugh
    -0.77
    looking
    -0.76
    driving
    -0.75
    picking
    -0.75
     Companies
    -0.72
    sounding
    -0.71
    luck
    -0.70
    brook
    -0.70
    bright
    -0.70
    POSITIVE LOGITS
    ÄŁ
    1.24
    ÅŁ
    1.22
    ç
    1.17
    ñ
    1.15
    ño
    1.15
    ña
    1.09
    ÅĤ
    1.02
    ð
    0.99
    ÃŁ
    0.95
     é
    0.92
    Activations Density 0.082%

    No Known Activations