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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. 9-RES-JB
    11. 3140
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    Explanations

    keywords related to different topics such as soccer, Olympics, space exploration, famous figures, controversial issues, and financial markets

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and athletic topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ews
    -0.67
    Phase
    -0.63
    Discuss
    -0.58
     constitu
    -0.58
    é¾įåĸļ士
    -0.57
    nant
    -0.56
    nesses
    -0.55
    ij士
    -0.55
    erent
    -0.55
    anse
    -0.55
    POSITIVE LOGITS
     bombing
    0.69
     bombed
    0.64
     bombings
    0.61
     astronaut
    0.59
     herpes
    0.59
     bomber
    0.59
     Barbie
    0.59
     surgeon
    0.58
     protester
    0.58
    bestos
    0.58
    Activations Density 0.924%

    No Known Activations