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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. 5697
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    Explanations

    numerical identifiers such as codes, serial numbers, and identification numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of identification numbers

    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
    INTON
    -0.89
    rador
    -0.87
    clair
    -0.73
    ovie
    -0.73
    Materials
    -0.68
    gewater
    -0.67
    roud
    -0.67
     Shroud
    -0.64
    sbm
    -0.62
    idden
    -0.61
    POSITIVE LOGITS
    plates
    0.98
    number
    0.84
    ames
    0.81
     number
    0.79
     codes
    0.78
     numbers
    0.76
     digits
    0.76
    codes
    0.75
    NUM
    0.73
    ology
    0.72
    Activations Density 0.037%

    No Known Activations