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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. 4-RES-JB
    11. 13201
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    Explanations

    words related to medical conditions, especially those related to learning and genetic disorders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dysregulation and various psychological or physical disorders

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

    No Comments

    Negative Logits
    76561
    -0.79
     Dragonbound
    -0.75
    hens
    -0.75
    ofi
    -0.71
    )=(
    -0.69
    FTWARE
    -0.68
    ============
    -0.68
    ahead
    -0.66
     Rifle
    -0.66
    ÙIJ
    -0.66
    POSITIVE LOGITS
     dys
    1.05
    functional
    0.91
    regulated
    0.87
    ivers
    0.82
     resil
    0.80
     Dys
    0.78
    phia
    0.78
     contag
    0.78
    relation
    0.78
    verse
    0.77
    Activations Density 0.019%

    No Known Activations