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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. 2-RES-JB
    11. 6117
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    Explanations

    terms related to laws, regulations, and legal actions

    oai_token-act-pair · gpt-3.5-turbo

    references to enforcement actions or 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
    gets
    -0.75
    bian
    -0.73
     Columb
    -0.72
    Bone
    -0.67
    ranged
    -0.67
    amina
    -0.67
    range
    -0.67
    thin
    -0.66
    Mem
    -0.66
    ones
    -0.66
    POSITIVE LOGITS
     enforcement
    1.20
     Enforcement
    1.06
     crackdown
    1.00
     sanction
    0.95
     mechanisms
    0.86
    enforcement
    0.86
     mechanism
    0.84
     policies
    0.83
     policy
    0.82
     regime
    0.82
    Activations Density 0.014%

    No Known Activations