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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 4450
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    INDEX
    Explanations

    phrases related to legal sanctions or punitive measures

    oai_token-act-pair · gpt-3.5-turbo

    references to penalties in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.80
    oscope
    -0.78
    rina
    -0.75
    geist
    -0.73
    atters
    -0.72
    itect
    -0.71
    IFE
    -0.69
     Corridor
    -0.69
    riad
    -0.68
    arity
    -0.66
    POSITIVE LOGITS
     penalties
    1.28
     penalty
    1.14
     levied
    1.00
     punishments
    0.98
     punishment
    0.97
     sanction
    0.94
     punish
    0.89
     imposed
    0.89
     punished
    0.88
     sanctions
    0.87
    Activations Density 0.015%

    No Known Activations