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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. 7-RES-JB
    11. 2638
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    Explanations

    phrases related to content going viral on the internet

    oai_token-act-pair · gpt-3.5-turbo

    references to viral phenomena or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    fman
    -0.88
    quartered
    -0.85
    sterdam
    -0.78
    ebus
    -0.73
    zzo
    -0.73
    perty
    -0.71
     quarters
    -0.71
    yer
    -0.70
    osher
    -0.69
    ropri
    -0.68
    POSITIVE LOGITS
    aneously
    0.82
     sensation
    0.80
     viral
    0.80
    ized
    0.79
    iously
    0.77
     Haram
    0.76
     upd
    0.75
    film
    0.73
    ITY
    0.73
    ization
    0.73
    Activations Density 0.031%

    No Known Activations