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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. 19771
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    Explanations

    verbs related to giving commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to taking action or implementing changes

    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
    rikes
    -0.62
     reluct
    -0.61
    mith
    -0.60
    ohn
    -0.60
     lit
    -0.60
    133
    -0.58
     exert
    -0.58
    arag
    -0.57
    idal
    -0.57
    hell
    -0.57
    POSITIVE LOGITS
    ables
    1.25
    ings
    1.24
     Yourself
    1.17
    able
    1.16
    ments
    1.14
     yourselves
    1.10
     yourself
    1.03
    INGS
    1.01
    ability
    1.01
    acion
    0.94
    Activations Density 0.383%

    No Known Activations