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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
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    Explanations

    mentions of hackers

    oai_token-act-pair · gpt-3.5-turbo

    references to hackers and hacking activities

    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
    eele
    -0.85
     Towns
    -0.79
    BuyableInstoreAndOnline
    -0.77
    âĶĢâĶĢâĶĢâĶĢ
    -0.68
    âĢ¢âĢ¢
    -0.68
     Leban
    -0.66
     Veter
    -0.66
    ogical
    -0.65
     Veterinary
    -0.65
    illard
    -0.64
    POSITIVE LOGITS
     hackers
    1.09
    intosh
    1.03
     hacker
    0.97
     hacking
    0.88
    paces
    0.82
    RF
    0.79
    netic
    0.77
     extraord
    0.75
    aday
    0.73
     nerds
    0.72
    Activations Density 0.007%

    No Known Activations