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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to epidemiological research and cohorts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.70
     ILCS
    -0.70
    ogy
    -0.68
    ulic
    -0.67
     Lumpur
    -0.65
    processor
    -0.64
    cffff
    -0.64
    ebus
    -0.64
     marqu
    -0.63
    ansk
    -0.63
    POSITIVE LOGITS
     cohort
    0.94
     Coh
    0.93
     observational
    0.91
     Volunteers
    0.84
    arette
    0.81
    rossover
    0.78
    arettes
    0.77
     cohorts
    0.75
     Participants
    0.75
    ational
    0.74
    Activations Density 0.042%

    No Known Activations