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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. 8-RES-JB
    11. 23434
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    Explanations

    mentions of jet-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of jets and related aviation terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.74
    Interstitial
    -0.64
     Borders
    -0.61
    ADRA
    -0.61
    essee
    -0.61
    Ô
    -0.60
     estab
    -0.60
    ãģĵ
    -0.60
     CoC
    -0.59
    HHHH
    -0.59
    POSITIVE LOGITS
    liner
    1.31
    liners
    1.12
    pack
    1.10
    ting
    1.06
    ted
    1.05
    ty
    0.98
    packs
    0.98
    lag
    0.98
    fare
    0.94
    jet
    0.89
    Activations Density 0.021%

    No Known Activations