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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. 390
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    Explanations

    programming code template markers

    oai_token-act-pair · gpt-3.5-turbo

    hashtags or comment tags commonly used in programming or technical documentation

    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
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    No Comments

    Negative Logits
     Vie
    -0.82
     Gors
    -0.78
     Williamson
    -0.68
     foremost
    -0.67
     Shiva
    -0.67
     Eve
    -0.65
     Burke
    -0.64
     Glas
    -0.64
     jog
    -0.63
     Thib
    -0.63
    POSITIVE LOGITS
    define
    1.55
    !/
    1.37
    include
    1.31
    endif
    1.22
    ################################
    1.21
    DIV
    1.21
    ########
    1.07
    ################
    1.03
    BRE
    0.99
    NAME
    0.99
    Activations Density 0.023%

    No Known Activations