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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. 2-RES-JB
    11. 18394
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    Explanations

    references to cows or cattle

    oai_token-act-pair · gpt-3.5-turbo

    references to cows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Extend
    -0.79
     satell
    -0.71
     Term
    -0.70
    */(
    -0.69
    nesota
    -0.67
     Flavoring
    -0.66
     millenn
    -0.66
     overwhelming
    -0.65
    aleigh
    -0.65
     Palestin
    -0.65
    POSITIVE LOGITS
    boys
    1.31
    riter
    1.07
    ards
    1.02
    girl
    0.98
    otle
    0.97
    yard
    0.93
    girls
    0.91
    cake
    0.89
    toe
    0.89
    boy
    0.88
    Activations Density 0.005%

    No Known Activations