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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. 3-RES-JB
    6. 14557
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    Explanations

    phrases related to legal or official actions

    oai_token-act-pair · gpt-3.5-turbo

    instances or phrases indicating intensity or magnitudes in various contexts

    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
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    No Comments

    Negative Logits
    hement
    -0.93
    ataka
    -0.74
    ichick
    -0.67
     diving
    -0.66
    romeda
    -0.65
     withdrawal
    -0.63
     undermin
    -0.63
     unsuspecting
    -0.63
     overt
    -0.62
     charm
    -0.61
    POSITIVE LOGITS
    ³³³³
    0.90
    SPONSORED
    0.90
    âĢ
    0.88
    Posted
    0.88
    âĹı
    0.87
    ³³³³³³³³
    0.86
    https
    0.86
    Trivia
    0.85
    Anonymous
    0.84
    ################################
    0.81
    Activations Density 0.852%

    No Known Activations