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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11347
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    Explanations

    phrases related to resolutions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    actions and emotional responses within interpersonal relationships

    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
    busters
    -0.88
    osate
    -0.86
    Critics
    -0.84
    ornia
    -0.80
     Critics
    -0.77
     Berman
    -0.75
    !'"
    -0.74
    SPONSORED
    -0.73
    govtrack
    -0.72
    cki
    -0.72
    POSITIVE LOGITS
     Jaune
    1.08
     Pyrrha
    1.02
     crimson
    0.88
     Weasley
    0.86
     grin
    0.86
     faint
    0.85
    blance
    0.83
     Naruto
    0.83
     potions
    0.83
     mage
    0.83
    Activations Density 0.623%

    No Known Activations