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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. 13130
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    Explanations

    actions related to collecting, processing, and transmitting information or data

    oai_token-act-pair · gpt-3.5-turbo

    actions related to data processing and transmission

    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
    BuyableInstoreAndOnline
    -0.75
    cius
    -0.66
    icult
    -0.65
     Too
    -0.64
     Already
    -0.63
    chest
    -0.63
     Plenty
    -0.59
    é¾įå
    -0.57
    overe
    -0.56
     Alone
    -0.56
    POSITIVE LOGITS
     accordingly
    1.35
     corresponding
    1.23
     subsequent
    1.05
     whichever
    1.01
     resultant
    0.95
     thereafter
    0.94
     appropriate
    0.93
     thereto
    0.89
     them
    0.88
     afterwards
    0.88
    Activations Density 0.462%

    No Known Activations