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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. 787
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    Explanations

    words related to chemical compounds, especially those containing sulfur

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sulfides and phosphates in a scientific context

    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
     Mercy
    -0.68
     Hag
    -0.68
     Carl
    -0.67
     Reese
    -0.66
     menu
    -0.64
     chest
    -0.63
     Valent
    -0.62
     Pri
    -0.62
     mand
    -0.62
     Caleb
    -0.60
    POSITIVE LOGITS
    amide
    1.36
    inated
    1.22
    oxide
    1.21
    idation
    1.20
    ohydrate
    1.20
    aldehyde
    1.18
    orous
    1.17
    ide
    1.16
    ates
    1.16
    ides
    1.16
    Activations Density 0.075%

    No Known Activations