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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. 5-RES-JB
    6. 8971
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    Explanations

    verb phrases related to conducting research or investigations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of studies and research findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quished
    -0.67
    SourceFile
    -0.66
    udeb
    -0.63
    yssey
    -0.63
     âĵĺ
    -0.61
     srf
    -0.59
     Quan
    -0.59
     DeV
    -0.59
    +.
    -0.58
    oples
    -0.57
    POSITIVE LOGITS
    )</
    0.63
     outweigh
    0.59
    pires
    0.58
    â̦)
    0.55
     «
    0.52
     hindsight
    0.51
    omething
    0.49
    >>>>>>>>
    0.49
    yll
    0.49
     outwe
    0.49
    Activations Density 1.713%

    No Known Activations