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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
    11. 2381
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    Explanations

    phrases related to programs or schemes

    oai_token-act-pair · gpt-3.5-turbo

    references to various programs

    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
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    No Comments

    Negative Logits
     stout
    -0.66
     surn
    -0.66
     castles
    -0.64
     anonymity
    -0.64
     toe
    -0.64
     whiff
    -0.63
    tackle
    -0.63
    steel
    -0.63
     castle
    -0.62
    beer
    -0.61
    POSITIVE LOGITS
     Program
    3.60
     Programs
    2.54
     Programme
    2.37
    Program
    2.35
     PROGRAM
    2.34
     program
    2.33
    program
    2.16
     programs
    1.82
     Programming
    1.81
     programme
    1.64
    Activations Density 0.010%

    No Known Activations