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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. 718
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    Explanations

    phrases referring to a team or group of individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a group or team

    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
    asta
    -0.79
    ukong
    -0.73
    oldown
    -0.72
    ibe
    -0.72
    imei
    -0.70
    atorium
    -0.69
    ashtra
    -0.68
    ratom
    -0.67
    catentry
    -0.65
    akedown
    -0.65
    POSITIVE LOGITS
     sorts
    0.97
     disparate
    0.83
     volunteers
    0.82
     adventurers
    0.77
     vetted
    0.77
     professionals
    0.76
     explorers
    0.71
     crafts
    0.70
     specialists
    0.70
     advisors
    0.69
    Activations Density 0.126%

    No Known Activations