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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. 7433
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    INDEX
    Explanations

    concepts related to feelings, emotions, and perceptions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to emotional and physical sensations

    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
    swick
    -0.75
    adra
    -0.66
     Phelps
    -0.66
     Maw
    -0.66
     Droid
    -0.65
     Savannah
    -0.65
    KT
    -0.64
     Farming
    -0.63
     McDonnell
    -0.62
    shire
    -0.62
    POSITIVE LOGITS
     acutely
    0.84
     vibration
    0.83
    pain
    0.82
     vibrations
    0.79
     warmth
    0.78
     fatigue
    0.75
     happiest
    0.74
     discomfort
    0.73
    rils
    0.72
    fortable
    0.70
    Activations Density 0.157%

    No Known Activations