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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. 9-RES-JB
    11. 1379
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    Explanations

    numbers related to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "hundred" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obal
    -0.70
    Chart
    -0.70
    estine
    -0.70
    Screen
    -0.69
    hra
    -0.68
    ign
    -0.67
    icter
    -0.67
    Land
    -0.67
    Script
    -0.65
    Serv
    -0.64
    POSITIVE LOGITS
     thousand
    1.39
     dollars
    1.09
     Thousand
    1.07
    ths
    1.02
     eighty
    0.94
     fifty
    0.94
     kilometers
    0.94
     thous
    0.93
     metres
    0.91
    ousand
    0.90
    Activations Density 0.054%

    No Known Activations