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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. 2-RES-JB
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    Explanations

    references to hackers and their activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hackers and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Towns
    -0.74
     Baal
    -0.73
    âĢ¢âĢ¢
    -0.70
     Veter
    -0.68
     Leban
    -0.65
    ã
    -0.64
    uph
    -0.64
    zl
    -0.64
    ãħĭ
    -0.64
     Kinn
    -0.63
    POSITIVE LOGITS
     hackers
    1.18
     hacker
    1.11
    intosh
    1.01
     hacking
    0.99
    paces
    0.93
    hack
    0.84
     nerds
    0.81
     hack
    0.80
    aday
    0.80
    athon
    0.75
    Activations Density 0.009%

    No Known Activations