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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. 3-RES-JB
    11. 20766
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    Explanations

    words related to privacy or being privileged

    oai_token-act-pair · gpt-3.5-turbo

    references to privilege and issues of access

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORN
    -0.82
    calling
    -0.78
    dry
    -0.73
    WAYS
    -0.70
    enegger
    -0.70
    LER
    -0.69
    grass
    -0.67
    rers
    -0.64
    gaard
    -0.64
     Modest
    -0.63
    POSITIVE LOGITS
    ilege
    1.52
    ileged
    1.46
    acies
    1.06
    ately
    1.04
     Priv
    0.95
    iless
    0.91
    Priv
    0.89
    ility
    0.87
    iors
    0.86
    ession
    0.86
    Activations Density 0.007%

    No Known Activations