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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. 7-RES-JB
    11. 11635
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    Explanations

    details related to legal consequences such as fines and prison terms

    oai_token-act-pair · gpt-3.5-turbo

    monetary penalties and legal consequences related to crimes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -1.13
    âĹ¼
    -0.77
    inventoryQuantity
    -0.73
    uably
    -0.73
     Forums
    -0.73
    Reviewer
    -0.72
    omics
    -0.70
     Spaces
    -0.67
    ahime
    -0.66
    TABLE
    -0.66
    POSITIVE LOGITS
     penalties
    1.24
     penalty
    1.18
     charges
    1.11
     imprisonment
    1.08
     manslaughter
    1.06
     damages
    1.04
     misdemeanor
    1.04
     probation
    1.03
     perjury
    1.03
     restitution
    1.01
    Activations Density 0.239%

    No Known Activations