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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. 2-RES-JB
    6. 4623
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    INDEX
    Explanations

    mentions or descriptions of penalties in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to penalties or punitive measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.80
    atters
    -0.77
    ership
    -0.74
     Alive
    -0.70
    walking
    -0.69
    IFE
    -0.69
    rina
    -0.69
    geist
    -0.69
    ERN
    -0.68
    birth
    -0.67
    POSITIVE LOGITS
     penalties
    1.28
     penalty
    1.13
     levied
    1.05
     sanction
    0.99
     punishment
    0.95
     punish
    0.94
     punishments
    0.94
     imposed
    0.92
     undermin
    0.91
     punished
    0.90
    Activations Density 0.009%

    No Known Activations