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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. 11156
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    Explanations

    mentions of hacking or being hacked

    oai_token-act-pair · gpt-3.5-turbo

    references to hacking and compromised security

    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
    BuyableInstoreAndOnline
    -0.87
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.75
     Veter
    -0.70
    oplan
    -0.70
     Duty
    -0.70
     Fiscal
    -0.66
    ais
    -0.64
     Archdemon
    -0.64
    xus
    -0.63
    pha
    -0.63
    POSITIVE LOGITS
    intosh
    1.11
    hered
    0.89
    nik
    0.84
    athon
    0.83
     hack
    0.77
     hacking
    0.74
     hacked
    0.74
     hackers
    0.73
    weed
    0.73
    RF
    0.70
    Activations Density 0.014%

    No Known Activations