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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. 1201
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    Explanations

    target words associated with addressing social issues or problems, particularly with a focus on taking action to solve them

    oai_token-act-pair · gpt-3.5-turbo

    references to significant social issues or challenges

    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
    Not in Any Lists

    No Comments

    Negative Logits
     consulted
    -0.79
    Finish
    -0.75
    save
    -0.74
    Scotland
    -0.70
    prototype
    -0.66
    saw
    -0.65
    Enjoy
    -0.65
     Joined
    -0.65
    table
    -0.64
    ée
    -0.64
    POSITIVE LOGITS
     scourge
    1.57
     dangers
    1.33
     epidemic
    1.33
     rampant
    1.23
     menace
    1.22
     proliferation
    1.20
     evils
    1.18
     harms
    1.16
     rav
    1.16
     prevalence
    1.14
    Activations Density 0.249%

    No Known Activations