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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. 4-RES-JB
    11. 10716
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    Explanations

    mentions of environmentally friendly practices or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to sustainability and environmental initiatives

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

    No Comments

    Negative Logits
    Downloadha
    -0.85
    orically
    -0.73
     Crosby
    -0.69
    illation
    -0.67
    arnaev
    -0.67
    ̶
    -0.66
     Painter
    -0.65
     Died
    -0.65
     Soph
    -0.63
    ebin
    -0.63
    POSITIVE LOGITS
    stuff
    0.93
    grass
    0.92
    peace
    0.91
    washing
    0.88
    lit
    0.88
    wash
    0.83
    leaf
    0.82
     green
    0.79
    cake
    0.79
    lighting
    0.79
    Activations Density 0.015%

    No Known Activations