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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. 6230
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    Explanations

    specific details or information in a text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the lack of information or details provided

    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
    wagen
    -0.69
     Carbuncle
    -0.66
    Pers
    -0.65
    anmar
    -0.63
    licts
    -0.62
    esm
    -0.61
    bey
    -0.61
    emale
    -0.61
    itton
    -0.59
    nin
    -0.59
    POSITIVE LOGITS
     yet
    1.09
     regarding
    1.08
     nor
    0.99
     about
    0.99
     whatsoever
    0.95
     specifics
    0.95
    nor
    0.94
     beyond
    0.93
     pertaining
    0.90
    yet
    0.88
    Activations Density 0.126%

    No Known Activations