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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. 4-RES-JB
    11. 7019
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    Explanations

    references to official bodies or committees

    oai_token-act-pair · gpt-3.5-turbo

    references to commissions or investigative bodies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Klu
    -0.85
    Els
    -0.69
     Dharma
    -0.66
    VK
    -0.66
     Tibetan
    -0.66
     Sina
    -0.65
    nikov
    -0.64
     prest
    -0.63
     Dad
    -0.63
     Aid
    -0.63
    POSITIVE LOGITS
     commissions
    1.11
     commission
    0.99
     commissioners
    0.95
    issions
    0.89
    ing
    0.83
    uting
    0.78
    eers
    0.77
    merce
    0.74
    ittee
    0.71
    eer
    0.69
    Activations Density 0.009%

    No Known Activations