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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. 2-RES-JB
    11. 6893
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    Explanations

    technical or guiding principles

    oai_token-act-pair · gpt-3.5-turbo

    references to guiding principles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sg
    -0.85
    âĹ¼
    -0.82
    ready
    -0.68
    ctic
    -0.68
    gg
    -0.67
    cknowled
    -0.66
    bor
    -0.66
    olla
    -0.65
    eor
    -0.64
     Amen
    -0.63
    POSITIVE LOGITS
     principles
    1.19
     Principles
    0.92
    ciples
    0.90
     principle
    0.89
     guiding
    0.86
     principals
    0.83
     underlying
    0.77
    idelines
    0.77
    ophical
    0.76
     underpin
    0.76
    Activations Density 0.008%

    No Known Activations