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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. 7-RES-JB
    11. 9890
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    Explanations

    words related to pursuing or targeting specific individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of pursuing or seeking something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sacrific
    -0.76
    asc
    -0.75
    terness
    -0.73
    soType
    -0.72
    Catalog
    -0.69
    appointed
    -0.68
    construct
    -0.68
    uyomi
    -0.66
    sheets
    -0.65
    andem
    -0.65
    POSITIVE LOGITS
     foreigners
    0.75
     Hispanics
    0.72
     minorities
    0.70
     women
    0.70
     individuals
    0.67
     Latinos
    0.64
     civilians
    0.64
     candidates
    0.63
     specific
    0.63
     individual
    0.63
    Activations Density 0.340%

    No Known Activations