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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. 6-RES-JB
    11. 17034
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    Explanations

    high-profile entities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to high-profile individuals or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ope
    -0.79
    anus
    -0.74
    shall
    -0.73
    iphany
    -0.71
    arcity
    -0.71
    FIN
    -0.70
    aves
    -0.69
    iph
    -0.68
    plet
    -0.67
    ften
    -0.66
    POSITIVE LOGITS
     endorsements
    0.98
     endors
    0.86
     celebrity
    0.84
     bearer
    0.83
     contender
    0.80
     collaborations
    0.78
     endorsement
    0.78
     engagements
    0.77
     celebrities
    0.75
     accomplishments
    0.74
    Activations Density 0.024%

    No Known Activations