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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. 4-RES-JB
    11. 16588
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    Explanations

    words related to authorizations and approvals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to authorization and assignments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Schr
    -0.76
     sake
    -0.70
    DragonMagazine
    -0.68
     Sirius
    -0.64
     Solitaire
    -0.63
     Rowling
    -0.63
     finest
    -0.63
     Noir
    -0.62
    VILLE
    -0.62
     Webster
    -0.61
    POSITIVE LOGITS
    ased
    1.12
    ctions
    1.04
    asin
    1.04
    ction
    1.01
    iliation
    1.00
    ruction
    1.00
    ited
    1.00
    ressed
    0.99
    ission
    0.99
    vised
    0.98
    Activations Density 0.145%

    No Known Activations