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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3293
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    INDEX
    Explanations

    mentions or variations of the word "paper."

    oai_token-act-pair · gpt-3.5-turbo

    references to scholarly papers and articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dism
    -0.66
     disbelief
    -0.64
     Wow
    -0.63
     status
    -0.63
     condition
    -0.61
     latitude
    -0.60
     conditional
    -0.60
     exclus
    -0.60
     license
    -0.60
     confirmed
    -0.58
    POSITIVE LOGITS
    apers
    4.55
    aper
    4.20
    aping
    1.78
    aped
    1.61
    apes
    1.51
    ape
    1.46
    apest
    1.34
    acco
    1.25
    apor
    1.24
    aps
    1.17
    Activations Density 0.005%

    No Known Activations