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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. 1247
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    Explanations

    phrases related to the beginning of a work or production process

    oai_token-act-pair · gpt-3.5-turbo

    references to the commencement and status of various projects or productions

    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
    ppings
    -0.73
    clus
    -0.72
    nai
    -0.71
    edience
    -0.71
    uckle
    -0.68
    cemic
    -0.67
    Choice
    -0.67
    ĸļ
    -0.66
     Argument
    -0.66
    ewitness
    -0.64
    POSITIVE LOGITS
     underway
    1.07
    Phase
    1.04
     Phase
    1.00
     preparations
    0.99
    Construction
    0.94
     phase
    0.90
     groundwork
    0.88
     finalized
    0.87
     anew
    0.86
     progress
    0.84
    Activations Density 0.182%

    No Known Activations