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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. 1-RES-JB
    11. 2817
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    INDEX
    Explanations

    mentions of thorough readiness or arrangement for a specific purpose or situation

    oai_token-act-pair · gpt-3.5-turbo

    references to preparation for various events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holes
    -0.64
    evil
    -0.63
     Guitar
    -0.63
     tiny
    -0.62
     penny
    -0.62
    plus
    -0.60
    oho
    -0.60
     slice
    -0.59
    lez
    -0.59
    verse
    -0.59
    POSITIVE LOGITS
     preparation
    1.10
     preparations
    0.99
     Prepar
    0.96
    folios
    0.86
    icter
    0.76
     conflic
    0.76
    olicy
    0.75
     prepares
    0.75
    uberty
    0.75
     preparing
    0.74
    Activations Density 0.009%

    No Known Activations