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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. 0-RES-JB
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    Explanations

    proper nouns or names, particularly those related to a specific individual named Row

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Row" followed by numeric identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ental
    -0.75
    assic
    -0.72
     CGI
    -0.72
     mercury
    -0.69
    anian
    -0.69
    ECA
    -0.69
     buffalo
    -0.68
    ordial
    -0.67
    debian
    -0.65
    omo
    -0.65
    POSITIVE LOGITS
     Row
    4.28
    Row
    2.91
     row
    1.99
     rows
    1.57
     Rowe
    1.44
    row
    1.33
     Column
    1.26
    Column
    1.15
     Yard
    1.14
     Alley
    1.02
    Activations Density 0.015%

    No Known Activations