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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. 10-RES-JB
    11. 10140
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    Explanations

    mentions of anonymity or anonymous sources

    oai_token-act-pair · gpt-3.5-turbo

    references to anonymity or anonymous sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.83
    stones
    -0.81
    rehens
    -0.80
    union
    -0.77
    neys
    -0.76
    loe
    -0.75
    eland
    -0.74
    tsky
    -0.73
    tons
    -0.72
    bourg
    -0.72
    POSITIVE LOGITS
     informant
    1.06
     donor
    1.00
     anonymous
    0.98
     sourcing
    0.94
    onym
    0.90
     caller
    0.90
     tip
    0.90
     whistleblower
    0.86
     anonymously
    0.82
     anonym
    0.82
    Activations Density 0.054%

    No Known Activations