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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. 17447
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    Explanations

    chemical compounds or substances, especially those related to health and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health effects, specifically toxins and allergens

    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
    fold
    -0.64
     hous
    -0.64
    WORK
    -0.62
     Isle
    -0.62
    falls
    -0.58
     bod
    -0.57
    kn
    -0.57
    éĹ
    -0.57
     roofs
    -0.56
     Dri
    -0.55
    POSITIVE LOGITS
    emic
    1.04
    atory
    1.03
    oric
    1.02
    Į
    0.98
    ogenic
    0.98
    ogens
    0.97
    olic
    0.96
    oid
    0.95
     acid
    0.93
     acids
    0.91
    Activations Density 0.095%

    No Known Activations