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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. 9-RES-JB
    11. 13369
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    INDEX
    Explanations

    mentions of technologies related to aviation, such as jet engines and airplanes

    oai_token-act-pair · gpt-3.5-turbo

    references to jet-related topics or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.75
    essee
    -0.68
    Interstitial
    -0.65
     Borders
    -0.64
     CoC
    -0.61
     Tablet
    -0.61
    ÑĮ
    -0.60
    ource
    -0.59
     Cause
    -0.58
    sembly
    -0.57
    POSITIVE LOGITS
    liner
    1.26
    pack
    1.13
    liners
    1.04
    ty
    1.01
    ted
    0.98
    packs
    0.95
    lag
    0.95
    jet
    0.94
    ting
    0.93
    fare
    0.92
    Activations Density 0.040%

    No Known Activations