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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. 11-RES-JB
    11. 742
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    Explanations

    personal anecdotes and experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to personal growth and decision-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.81
    orem
    -0.80
    ãĥĹ
    -0.72
    ebus
    -0.69
    obook
    -0.68
     Dhabi
    -0.67
    Leaks
    -0.67
    éĹ
    -0.66
     Profit
    -0.64
     duplicate
    -0.63
    POSITIVE LOGITS
    Growing
    1.24
     adolescence
    1.21
     adulthood
    1.20
     puberty
    1.20
     Growing
    1.13
     childhood
    1.08
     grew
    1.00
     upbringing
    0.95
     taught
    0.94
     growing
    0.94
    Activations Density 0.695%

    No Known Activations