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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. 11-RES-JB
    11. 1865
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    Explanations

    words related to law enforcement and government actions or regulations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions that are not being taken or ignored by authorities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceae
    -0.72
    itars
    -0.70
    ISE
    -0.68
    izons
    -0.66
     Lose
    -0.65
    ledged
    -0.64
    arcity
    -0.64
    Drive
    -0.63
    IRE
    -0.63
    ptoms
    -0.63
    POSITIVE LOGITS
     enforcing
    1.31
     approving
    1.30
     assigning
    1.29
     authorizing
    1.24
     implementing
    1.23
     awarding
    1.23
     treating
    1.23
     rejecting
    1.22
     appointing
    1.22
     introducing
    1.22
    Activations Density 0.319%

    No Known Activations