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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. 4-RES-JB
    11. 4337
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    Explanations

    the word "secrets" occurring in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to secrets or confidential information

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

    No Comments

    Negative Logits
    olson
    -0.71
    onement
    -0.68
    stad
    -0.68
    ood
    -0.66
     Kurdistan
    -0.65
    ready
    -0.65
    à¤
    -0.65
    allah
    -0.64
    member
    -0.63
     Pesh
    -0.63
    POSITIVE LOGITS
     secrets
    1.03
     Secrets
    0.98
     glean
    0.90
     Reve
    0.80
     hidden
    0.76
    afety
    0.76
     abound
    0.75
    cape
    0.75
    ource
    0.74
     trove
    0.74
    Activations Density 0.020%

    No Known Activations