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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. 10-RES-JB
    11. 20527
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    Explanations

    phrases indicating damage, suffering, or loss being endured by individuals or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to suffering and damage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uggest
    -0.83
    SpaceEngineers
    -0.81
    Advanced
    -0.73
    soDeliveryDate
    -0.73
    dayName
    -0.73
    FTWARE
    -0.69
    \":
    -0.69
    apons
    -0.66
    FN
    -0.66
    IPS
    -0.66
    POSITIVE LOGITS
     inflicted
    1.64
     loss
    1.37
     suffered
    1.35
     humiliation
    1.31
     griev
    1.31
     casualties
    1.30
     wounds
    1.25
     suffering
    1.24
     losses
    1.22
     injuries
    1.20
    Activations Density 0.489%

    No Known Activations