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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. 6-RES-JB
    6. 24306
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    Explanations

    cybersecurity-related phrases or technical terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to security and threat detection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Unloaded
    -0.64
    âķIJâķIJ
    -0.60
    ophon
    -0.60
     crochet
    -0.60
     GDDR
    -0.56
     matt
    -0.55
     Barron
    -0.53
    AUD
    -0.53
    INTON
    -0.53
     precincts
    -0.52
    POSITIVE LOGITS
    hire
    0.61
    sic
    0.60
    groups
    0.57
    enment
    0.56
    eering
    0.56
    aline
    0.55
    ullah
    0.54
    cler
    0.53
    heimer
    0.53
     relegation
    0.53
    Activations Density 1.215%

    No Known Activations