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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. 16284
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    Explanations

    proper names or specific terms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and organizations

    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
     clipboard
    -0.72
     lockout
    -0.65
    Ö
    -0.61
     alphabet
    -0.59
     tripod
    -0.59
     selfie
    -0.59
    ploma
    -0.58
    ========
    -0.58
     pedal
    -0.58
     totality
    -0.58
    POSITIVE LOGITS
     said
    0.77
    anson
    0.72
    pecially
    0.72
    orio
    0.71
     argues
    0.69
     says
    0.68
    said
    0.67
    wise
    0.67
     spokeswoman
    0.67
    gui
    0.67
    Activations Density 0.311%

    No Known Activations