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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. 6-RES-JB
    11. 17777
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    Explanations

    phrases associated with medical conditions, legal terms, and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health issues and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.72
    anye
    -0.65
    é¾įåĸļ士
    -0.65
    soDeliveryDate
    -0.64
    ħĭ
    -0.64
    ppa
    -0.63
    veland
    -0.63
    Initialized
    -0.62
    leans
    -0.60
    èĪ
    -0.60
    POSITIVE LOGITS
     perpetrated
    0.83
     PTSD
    0.81
     illnesses
    0.74
     Kafka
    0.67
     deaths
    0.67
     epidemic
    0.66
     poisoning
    0.65
     mortality
    0.64
     traumatic
    0.64
     inflicted
    0.64
    Activations Density 1.102%

    No Known Activations