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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. 6-RES-JB
    11. 15006
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    Explanations

    phrases with the pattern "-by-play-" or "-by-product-"

    oai_token-act-pair · gpt-3.5-turbo

    references to sports and election-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.69
     belie
    -0.64
     seiz
    -0.63
    ued
    -0.62
     Sov
    -0.60
     Fior
    -0.60
    mobi
    -0.59
     await
    -0.59
    wcs
    -0.58
    etsk
    -0.58
    POSITIVE LOGITS
    TAG
    0.63
    omer
    0.63
    actor
    0.62
    factor
    0.61
    ç«
    0.60
    committee
    0.60
     Numbers
    0.58
    Moh
    0.57
     means
    0.57
    è¦ļéĨĴ
    0.57
    Activations Density 0.058%

    No Known Activations