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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. 11-RES-JB
    6. 15387
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    INDEX
    Explanations

    mentions of specific people or political figures

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and names associated with people

    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
     vm
    -1.01
    hov
    -0.97
     Robo
    -0.96
     droid
    -0.95
     robot
    -0.90
     Docker
    -0.89
     Sebast
    -0.84
     fasc
    -0.83
     Unreal
    -0.83
     pods
    -0.82
    POSITIVE LOGITS
     Collins
    2.57
    Collins
    2.51
     Sullivan
    1.43
    Sullivan
    1.32
     Maine
    1.23
     Gardner
    1.21
     Somers
    1.19
     Crowley
    1.13
     Browne
    1.08
     Spect
    1.05
    Activations Density 0.243%

    No Known Activations