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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. 1747
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    Explanations

    phrases related to serving in roles or positions

    oai_token-act-pair · gpt-3.5-turbo

    the word "serve" in various contexts

    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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    No Comments

    Negative Logits
    ebted
    -0.71
    bish
    -0.71
    Scope
    -0.65
    anta
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     millenn
    -0.63
     Rebell
    -0.63
    ulous
    -0.61
     VIDEOS
    -0.60
    ModLoader
    -0.60
    edia
    -0.59
    POSITIVE LOGITS
    ework
    0.68
     representing
    0.68
    strument
    0.67
     reserv
    0.67
     follows
    0.67
     interim
    0.66
     afore
    0.66
     medi
    0.66
    abet
    0.64
     an
    0.64
    Activations Density 0.038%

    No Known Activations