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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

    terms related to hijacking or terrorists

    oai_token-act-pair · gpt-3.5-turbo

    references to hijacking and associated terminology

    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
     Rite
    -0.86
    âĨij
    -0.70
    20439
    -0.70
     Angels
    -0.70
     Patron
    -0.69
    remlin
    -0.69
     Blessed
    -0.69
     Habit
    -0.68
     Teachers
    -0.67
    ç¥ŀ
    -0.67
    POSITIVE LOGITS
     hij
    1.34
     hijacked
    1.08
    ackers
    0.90
    eering
    0.86
    acking
    0.85
    inx
    0.85
    intosh
    0.80
    ulence
    0.79
    acker
    0.79
    bean
    0.76
    Activations Density 0.009%

    No Known Activations