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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. 11-RES-JB
    11. 6467
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    Explanations

    instances where individuals are encouraged or called upon to take action and stand up for a cause or belief

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases that express readiness or a call to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    FactoryReloaded
    -0.71
    ELD
    -0.67
    sted
    -0.66
    æ©Ł
    -0.61
     Voltage
    -0.56
    ords
    -0.55
    çīĪ
    -0.54
    rences
    -0.54
     Xeon
    -0.53
    kson
    -0.53
    POSITIVE LOGITS
     lest
    0.96
     to
    0.94
     preferably
    0.92
    to
    0.87
     knowing
    0.84
     breathe
    0.83
     cultivate
    0.83
     because
    0.83
     learn
    0.82
     cherish
    0.81
    Activations Density 0.234%

    No Known Activations