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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. 1-RES-JB
    11. 16878
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    Explanations

    words related to legal or financial penalties

    oai_token-act-pair · gpt-3.5-turbo

    references to penalties and punitive measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.87
    rina
    -0.77
    atters
    -0.76
    ership
    -0.74
    Local
    -0.73
    Street
    -0.73
    ERN
    -0.72
    ECD
    -0.72
    ILE
    -0.72
     Corridor
    -0.70
    POSITIVE LOGITS
     penalties
    1.47
     penalty
    1.14
     levied
    1.02
     punishments
    1.00
     imposed
    0.99
    alties
    0.98
     confir
    0.97
     sanction
    0.95
     punishment
    0.94
     punish
    0.93
    Activations Density 0.009%

    No Known Activations