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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. 22785
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    INDEX
    Explanations

    money-related information, particularly regarding spending and financial figures

    oai_token-act-pair · gpt-3.5-turbo

    monetary values related to lobbying and expenditures, particularly in healthcare and political activities

    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
    ragon
    -0.71
    rette
    -0.70
     proverb
    -0.70
    âĵĺ
    -0.70
    Soon
    -0.70
     endif
    -0.63
    Lim
    -0.62
    Nusra
    -0.62
    inventoryQuantity
    -0.62
    rious
    -0.61
    POSITIVE LOGITS
     total
    0.81
     354
    0.80
     337
    0.79
     287
    0.77
     178
    0.76
     various
    0.76
     behalf
    0.75
     308
    0.75
    essions
    0.75
     respondents
    0.75
    Activations Density 0.377%

    No Known Activations