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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. 11-RES-JB
    11. 13460
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    Explanations

    descriptions of scientific experiments and technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scientific research and experimentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endar
    -0.83
    justice
    -0.78
     Rape
    -0.77
     hates
    -0.77
     Survivors
    -0.73
     Conquest
    -0.73
     Taxes
    -0.71
     Franch
    -0.71
    hate
    -0.71
     Seasons
    -0.71
    POSITIVE LOGITS
     graphene
    1.49
     quantum
    1.32
     nan
    1.21
     nanop
    1.14
     electrode
    1.13
     wavelength
    1.12
     silicon
    1.11
     transistor
    1.11
     fabrication
    1.09
     electron
    1.09
    Activations Density 0.446%

    No Known Activations