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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. 3-RES-JB
    11. 9769
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    Explanations

    mentions related to medical conditions, particularly focusing on words related to specific regions of the brain like the dorsomedial prefrontal cortex, dopamine levels, and health disorders

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people, medical terminology, and dopamine-related concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    hell
    -0.86
    eele
    -0.79
    ambo
    -0.77
    ulators
    -0.77
    oos
    -0.76
    ONSORED
    -0.72
    opp
    -0.72
    ulatory
    -0.72
    ament
    -0.70
    sburgh
    -0.70
    POSITIVE LOGITS
    hyde
    0.87
    Pad
    0.77
    etheless
    0.76
     Mub
    0.68
    ILY
    0.66
    VID
    0.66
    cember
    0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.65
    ensional
    0.64
     Rising
    0.62
    Activations Density 0.042%

    No Known Activations