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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
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    Explanations

    information related to government surveillance and data collection

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to government surveillance and data collection practices

    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
    ukemia
    -0.79
     Kinn
    -0.72
     guiActiveUnfocused
    -0.71
     Dise
    -0.70
     Rally
    -0.70
    reci
    -0.70
     Revival
    -0.68
    wine
    -0.67
    Brew
    -0.67
     Brewing
    -0.67
    POSITIVE LOGITS
     spying
    1.25
     encrypted
    1.21
    illance
    1.20
     Privacy
    1.18
     fingerprints
    1.13
     passwords
    1.12
     privacy
    1.11
     surveillance
    1.11
     wiret
    1.09
     eaves
    1.09
    Activations Density 0.797%

    No Known Activations