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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. 9-RES-JB
    11. 23117
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    Explanations

    mechanisms and conditions related to molecular biology and medical research

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical or biological receptor studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fiesta
    -0.74
     Patriot
    -0.72
     Ivy
    -0.72
     Tech
    -0.69
     Mama
    -0.69
     Saturdays
    -0.69
     Stadium
    -0.68
     Wiz
    -0.68
     Lady
    -0.67
     Money
    -0.67
    POSITIVE LOGITS
    treated
    1.40
    induced
    1.37
    negative
    1.33
    containing
    1.32
    derived
    1.30
    directed
    1.30
    mediated
    1.27
    methyl
    1.27
    positive
    1.26
    treatment
    1.26
    Activations Density 0.162%

    No Known Activations