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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. 9-RES-JB
    11. 5655
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    Explanations

    words or phrases related to drowning or being submerged in water

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with drowning and water-related incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.75
    haar
    -0.68
    thumbnails
    -0.67
     Smoking
    -0.65
     ministries
    -0.63
    ioch
    -0.63
    RON
    -0.62
    areth
    -0.62
    ========
    -0.62
    PsyNetMessage
    -0.62
    POSITIVE LOGITS
     ashore
    0.95
    colour
    0.95
     swimming
    0.94
     raft
    0.93
    boat
    0.93
     shore
    0.92
    melon
    0.92
     downstream
    0.87
    front
    0.86
    boats
    0.83
    Activations Density 0.110%

    No Known Activations