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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. 3-RES-JB
    11. 4545
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    Explanations

    adjectives related to emotional detachment or control

    oai_token-act-pair · gpt-3.5-turbo

    words related to being stopped or stationary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ually
    -0.88
     Rend
    -0.74
    UAL
    -0.73
     Horizons
    -0.72
    displayText
    -0.72
    urate
    -0.69
     recall
    -0.68
     Odyssey
    -0.67
     Kindle
    -0.66
    acular
    -0.66
    POSITIVE LOGITS
    pper
    1.09
     sto
    1.09
    ppy
    1.00
    ppers
    0.95
    pped
    0.91
    pping
    0.84
    ffer
    0.82
    ppings
    0.75
    leys
    0.75
    ven
    0.75
    Activations Density 0.007%

    No Known Activations