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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. 1050
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    Explanations

    mentions of dental-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dental health and dentistry

    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
    MQ
    -0.83
     ACTIONS
    -0.79
    unknown
    -0.72
    76561
    -0.71
     Gathering
    -0.70
    Favorite
    -0.66
     Gemini
    -0.65
     Darkness
    -0.65
    ========
    -0.65
    à¦
    -0.64
    POSITIVE LOGITS
    istry
    1.12
     dent
    0.98
    geon
    0.95
    icles
    0.87
    ysis
    0.85
    geons
    0.83
    ition
    0.83
    orial
    0.83
    ists
    0.82
    atal
    0.80
    Activations Density 0.031%

    No Known Activations