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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. 0-RES-JB
    11. 8046
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    INDEX
    Explanations

    financial year (FY) information

    oai_token-act-pair · gpt-3.5-turbo

    references to fiscal years and specific military equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aviour
    -0.83
    Bern
    -0.76
    drive
    -0.74
    immer
    -0.70
    abulary
    -0.69
     Kelvin
    -0.69
    Journal
    -0.69
    ller
    -0.67
    inctions
    -0.67
    llers
    -0.67
    POSITIVE LOGITS
     FY
    3.61
    FY
    2.80
     AK
    1.29
     appropriations
    1.20
     XX
    1.02
     ND
    0.98
     CST
    0.98
     POP
    0.95
     soy
    0.94
     HHS
    0.91
    Activations Density 0.035%

    No Known Activations