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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19870
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    Explanations

    mentions of specific entities such as names or locations

    oai_token-act-pair · gpt-3.5-turbo

    acronyms or abbreviations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oxide
    -0.68
     Legions
    -0.64
    vae
    -0.61
     Chimera
    -0.60
     Jolly
    -0.59
     Sic
    -0.58
    ©¶æ
    -0.58
     Balk
    -0.57
    midt
    -0.56
     Avenger
    -0.56
    POSITIVE LOGITS
    FUL
    1.00
    INGS
    0.97
    TAIN
    0.95
    HAEL
    0.94
     IMAGES
    0.93
    ICLE
    0.93
    AGE
    0.90
    RIC
    0.86
    hyde
    0.85
    IER
    0.82
    Activations Density 0.118%

    No Known Activations