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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. 3-RES-JB
    11. 108
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    topics related to environmental issues and energy sources

    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
    Not in Any Lists

    No Comments

    Negative Logits
    htaking
    -0.71
     Helpful
    -0.64
    estern
    -0.59
    terness
    -0.59
     Nerd
    -0.57
    tesy
    -0.56
    cipled
    -0.55
    ï¸ı
    -0.55
     partName
    -0.55
    baugh
    -0.54
    POSITIVE LOGITS
    )."
    0.77
    '."
    0.75
    ]."
    0.74
    .'"
    0.70
     equivalents
    0.69
    ".
    0.68
    )).
    0.67
    .).
    0.66
    .''
    0.65
    '.
    0.64
    Activations Density 2.877%

    No Known Activations