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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. 10-RES-JB
    6. 4068
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    INDEX
    Explanations

    specific names and quotes

    oai_token-act-pair · gpt-3.5-turbo

    quotations and dialogue from individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vec
    -0.95
     asbestos
    -0.89
    bestos
    -0.86
    vec
    -0.84
     stim
    -0.82
    acco
    -0.81
     âĸĪ
    -0.81
     respir
    -0.80
     neuroscience
    -0.78
     flashlight
    -0.76
    POSITIVE LOGITS
    King
    1.99
     King
    1.94
     Kingdom
    1.69
     KING
    1.67
     kingdom
    1.67
     monarch
    1.64
     kingdoms
    1.64
     king
    1.63
     Kings
    1.61
     kings
    1.56
    Activations Density 0.354%

    No Known Activations