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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. 0-RES-JB
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    Explanations

    phrases related to humanitarian efforts or crises

    oai_token-act-pair · gpt-3.5-turbo

    references to humanitarian issues or crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tops
    -0.70
    Score
    -0.70
    rows
    -0.68
    phia
    -0.65
    azz
    -0.64
     paired
    -0.64
     Electro
    -0.64
     Pair
    -0.63
    jac
    -0.63
     Lamp
    -0.63
    POSITIVE LOGITS
     humanitarian
    3.62
     refugee
    1.60
     UNHCR
    1.49
     Refugee
    1.42
     philanthrop
    1.39
     diplomatic
    1.35
     charitable
    1.34
    itarian
    1.33
     logistical
    1.29
     compassionate
    1.28
    Activations Density 0.010%

    No Known Activations