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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. 950
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    Explanations

    organizations or entities followed by 'Board of'

    oai_token-act-pair · gpt-3.5-turbo

    references to boards or committees

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    ãĤ®
    -0.76
    ashtra
    -0.74
    aan
    -0.72
    ãĥķ
    -0.69
    vell
    -0.67
    catentry
    -0.65
    ãĤ¼ãĤ¦ãĤ¹
    -0.65
     poaching
    -0.65
    UAL
    -0.64
    ع
    -0.62
    POSITIVE LOGITS
     Directors
    1.17
     Governors
    1.01
     directors
    1.01
     trustees
    0.92
     governors
    0.92
     Commissioners
    0.85
     Inquiry
    0.81
     Representatives
    0.76
     Nursing
    0.76
     advisors
    0.72
    Activations Density 0.045%

    No Known Activations