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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. 2-RES-JB
    6. 20140
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    Explanations

    comparative statements indicating superiority

    oai_token-act-pair · gpt-3.5-turbo

    statements asserting superiority or preference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Py
    -0.76
    idon
    -0.69
    mad
    -0.67
    NH
    -0.67
    erity
    -0.65
    TRY
    -0.64
    FK
    -0.63
    psy
    -0.61
    aly
    -0.61
    Ber
    -0.60
    POSITIVE LOGITS
     suited
    1.02
     than
    0.95
     behaved
    0.94
     acquainted
    0.79
     manag
    0.74
     cannabin
    0.71
     quality
    0.70
     lapt
    0.68
    than
    0.68
     Than
    0.68
    Activations Density 0.034%

    No Known Activations