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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. 9-RES-JB
    11. 24185
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    Explanations

    any mentions of financial savings or savings accounts

    oai_token-act-pair · gpt-3.5-turbo

    references to financial savings

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    rez
    -0.75
    ç«
    -0.65
    SPONSORED
    -0.65
    aque
    -0.64
    WAYS
    -0.63
    Untitled
    -0.62
    odor
    -0.62
    antis
    -0.62
    SOURCE
    -0.62
    Featured
    -0.60
    POSITIVE LOGITS
     Accounts
    0.88
    account
    0.82
     havens
    0.77
     accounts
    0.76
     savings
    0.74
    iencies
    0.74
    fulness
    0.73
     Bonds
    0.73
    irts
    0.72
    itures
    0.70
    Activations Density 0.018%

    No Known Activations