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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
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    Explanations

    phrases related to ensuring or making sure of something

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "that" in various contexts related to ensuring accountability and protection

    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
    Not in Any Lists

    No Comments

    Negative Logits
    inez
    -0.69
    ãĤ»
    -0.69
    Plus
    -0.68
    BuyableInstoreAndOnline
    -0.65
    aukee
    -0.65
    yp
    -0.64
    bled
    -0.63
    bling
    -0.62
    akia
    -0.61
    apult
    -0.61
    POSITIVE LOGITS
     everyone
    0.92
     everything
    0.90
     everybody
    0.87
     nobody
    0.86
     every
    0.84
     whoever
    0.83
     EVERY
    0.81
     whenever
    0.78
     none
    0.77
     whichever
    0.76
    Activations Density 0.113%

    No Known Activations