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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. 9-RES-JB
    6. 10649
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    Explanations

    numerical values followed by symbols or names related to programming or technology

    oai_token-act-pair · gpt-3.5-turbo

    specialized technical terms and identifiers related to programming or data management

    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
     KB
    -0.83
     Labyrinth
    -0.80
     Lump
    -0.79
     Opera
    -0.76
     670
    -0.76
     Zig
    -0.74
     MB
    -0.73
     Gear
    -0.73
     Flav
    -0.72
     346
    -0.72
    POSITIVE LOGITS
    re
    1.61
    RE
    1.26
    rez
    1.21
    rem
    1.15
    reb
    1.09
    ere
    1.07
    rey
    1.06
    andre
    1.05
    rep
    1.05
    arre
    1.04
    Activations Density 0.193%

    No Known Activations