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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. 389
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    Explanations

    keywords related to certainty and assurance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to certainty and clarity

    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
     Hunting
    -0.75
     Slug
    -0.74
     Cells
    -0.73
     Wolves
    -0.68
    MQ
    -0.67
     Farmers
    -0.67
     Dust
    -0.67
     guiActiveUnfocused
    -0.66
     Loft
    -0.66
     Cullen
    -0.66
    POSITIVE LOGITS
     unmist
    0.97
    putable
    0.95
     indis
    0.92
    akable
    0.91
    essential
    0.88
    ances
    0.87
    iguous
    0.86
     unamb
    0.85
     conclusive
    0.85
    ashed
    0.84
    Activations Density 0.015%

    No Known Activations