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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. 11-RES-JB
    11. 11844
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    Explanations

    references to jet-related objects or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to jet propulsion or jet-related technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rite
    -0.65
     frankly
    -0.61
     Clause
    -0.61
    essee
    -0.60
     Outside
    -0.60
     Borders
    -0.58
     Princ
    -0.57
     Honest
    -0.56
    Interstitial
    -0.56
     Mexicans
    -0.56
    POSITIVE LOGITS
    lag
    1.26
    pack
    1.20
    liner
    1.19
    packs
    1.14
    stream
    1.03
    liners
    1.01
    ted
    1.01
    ty
    1.00
    jet
    0.99
    ting
    0.93
    Activations Density 0.041%

    No Known Activations