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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. 9166
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    Explanations

    words related to firm or aggressive stances, such as "tough," "harsh," "repression," and "moderate."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to strict or forceful policies

    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
    ceivable
    -0.83
     untold
    -0.81
    Haunted
    -0.75
     impro
    -0.70
    ̶
    -0.67
     Completed
    -0.66
    ITNESS
    -0.66
    ournals
    -0.66
     Dread
    -0.66
    ertation
    -0.65
    POSITIVE LOGITS
     stance
    1.37
     rhetoric
    1.12
     stances
    1.06
     tone
    1.06
     approach
    1.05
     attitude
    1.05
     crackdown
    1.02
     tactics
    1.01
     posture
    0.96
     enforcement
    0.95
    Activations Density 0.290%

    No Known Activations