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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. 24225
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    Explanations

    phrases related to protests and chants

    oai_token-act-pair · gpt-3.5-turbo

    elements related to protests and collective expressions of dissent

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    venture
    -0.74
    retion
    -0.71
    Reviewer
    -0.71
    folio
    -0.70
     Flavoring
    -0.68
     pores
    -0.67
    neau
    -0.67
    abase
    -0.67
    ocket
    -0.67
    igne
    -0.66
    POSITIVE LOGITS
     slogans
    1.52
     chanting
    1.24
     chants
    1.12
     chanted
    1.11
     Protesters
    1.00
     banners
    0.98
     slogan
    0.97
     swast
    0.96
     protesting
    0.93
     protester
    0.93
    Activations Density 0.255%

    No Known Activations