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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. 1-RES-JB
    6. 10115
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    Explanations

    phrases related to quick summaries or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to summaries or concluding statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clad
    -0.51
    tnc
    -0.51
     fame
    -0.48
    emale
    -0.47
    peg
    -0.47
    burning
    -0.46
    ãģ¾
    -0.44
    grown
    -0.44
     respectively
    -0.42
    management
    -0.42
    POSITIVE LOGITS
    etheless
    0.67
    nces
    0.65
    terness
    0.59
     confir
    0.58
     citiz
    0.56
    ccording
    0.56
    Ĥª
    0.55
     pse
    0.55
     glim
    0.53
     FANTASY
    0.52
    Activations Density 7.223%

    No Known Activations