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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
    11. 17852
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    Explanations

    phrases related to identifying and discussing risks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to risks and potential dangers

    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
    ergy
    -0.94
    gdala
    -0.78
    cle
    -0.78
    gran
    -0.76
    Hat
    -0.71
    Nap
    -0.71
    eve
    -0.70
    eenth
    -0.70
     Kinnikuman
    -0.69
    MT
    -0.69
    POSITIVE LOGITS
     risks
    1.09
     risk
    0.93
     dangers
    0.88
     pitfalls
    0.88
    afety
    0.87
     hazards
    0.87
     endanger
    0.84
    crow
    0.78
     jeopard
    0.77
     consequences
    0.77
    Activations Density 0.013%

    No Known Activations