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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16960
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    Explanations

    references to the word "Per" or "Peru"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the word "Per," likely indicating a focus on a specific entity or keyword

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.80
    enegger
    -0.79
    INESS
    -0.70
     pneum
    -0.67
     Raleigh
    -0.66
     Carbuncle
    -0.66
    orld
    -0.64
     Lazarus
    -0.63
    ATIONAL
    -0.63
     Ic
    -0.62
    POSITIVE LOGITS
    ceptions
    1.24
     capita
    1.22
    secut
    1.17
    ipher
    1.14
    uvian
    1.14
    iod
    1.14
    due
    1.14
    ceived
    1.11
    missible
    1.09
    secution
    1.09
    Activations Density 0.019%

    No Known Activations