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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. 1-RES-JB
    11. 15728
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    Explanations

    references to hidden or confidential information

    oai_token-act-pair · gpt-3.5-turbo

    references to secrets or hidden information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    repl
    -0.80
    à¤
    -0.76
    FG
    -0.74
    ready
    -0.72
    arel
    -0.69
    olson
    -0.68
    ood
    -0.67
    ergy
    -0.67
    odder
    -0.65
    obe
    -0.64
    POSITIVE LOGITS
     secrets
    1.45
     Secrets
    1.17
    rets
    0.89
     secret
    0.82
    secret
    0.81
     mysteries
    0.81
    Secret
    0.81
    afety
    0.79
     lore
    0.76
    terday
    0.76
    Activations Density 0.008%

    No Known Activations