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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. 6192
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    INDEX
    Explanations

    materials science-related terms and processes

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to nanotechnology and semiconductor materials

    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
     haun
    -0.83
    Hunt
    -0.77
     Hunt
    -0.73
     SPORTS
    -0.73
    pause
    -0.73
    hunt
    -0.72
     Limbaugh
    -0.72
     Willie
    -0.72
     Magicka
    -0.71
     Barkley
    -0.70
    POSITIVE LOGITS
     graphene
    1.93
     nanop
    1.57
     nan
    1.56
     semic
    1.47
     electrodes
    1.43
     silicon
    1.42
     polymer
    1.37
     electrode
    1.35
     oxide
    1.33
     transistor
    1.29
    Activations Density 0.299%

    No Known Activations