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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. 11-RES-JB
    11. 12524
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    INDEX
    Explanations

    email-related phrases and calls to action

    oai_token-act-pair · gpt-3.5-turbo

    references to email subscriptions and newsletters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Episcopal
    -0.55
    OPLE
    -0.53
    nel
    -0.52
    aroo
    -0.52
    lust
    -0.52
     throats
    -0.51
    aho
    -0.51
     Tsukuyomi
    -0.51
    itar
    -0.50
    ulia
    -0.50
    POSITIVE LOGITS
     containing
    1.00
     newsletters
    0.69
     representing
    0.68
     informing
    0.68
     verifying
    0.65
     confirming
    0.64
     answering
    0.63
    DragonMagazine
    0.63
    irable
    0.61
     {*
    0.61
    Activations Density 0.021%

    No Known Activations