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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. 1-RES-JB
    11. 5614
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    Explanations

    mentions of nanotechnology-related terms and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to nanotechnology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãģį
    -0.81
    éĹĺ
    -0.73
     Hust
    -0.72
    Magikarp
    -0.72
     Purg
    -0.71
    UCT
    -0.69
    draw
    -0.67
    âķIJâķIJ
    -0.67
    LOAD
    -0.66
     Telegram
    -0.66
    POSITIVE LOGITS
     nan
    1.27
    otechnology
    1.17
    otech
    1.14
    omach
    1.05
    ocry
    1.00
    oreal
    0.98
    ocom
    0.96
    igr
    0.95
    anium
    0.92
    agara
    0.92
    Activations Density 0.004%

    No Known Activations