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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. 10-RES-JB
    11. 17503
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    INDEX
    Explanations

    phrases involving the concept of 'each' or 'every'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "each" as it relates to various subjects or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understatement
    -0.71
     abound
    -0.68
    paren
    -0.61
    don
    -0.60
    haven
    -0.59
    tch
    -0.59
     Nope
    -0.57
    Īè
    -0.56
    rers
    -0.56
     Didn
    -0.56
    POSITIVE LOGITS
     individually
    1.55
     separately
    1.31
     differently
    1.06
     independently
    1.05
     unique
    1.02
     different
    0.97
     varying
    0.93
     uniquely
    0.93
     differing
    0.89
     respective
    0.87
    Activations Density 0.228%

    No Known Activations