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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. 1-RES-JB
    6. 16667
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    Explanations

    words related to relaxation and free time activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to leisure activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imposed
    -0.69
    ars
    -0.66
    NAT
    -0.65
    inx
    -0.64
    gran
    -0.63
     wound
    -0.61
     DOT
    -0.61
     Rebellion
    -0.59
    antis
    -0.59
    ARS
    -0.58
    POSITIVE LOGITS
     leisure
    1.15
    isure
    1.11
     trave
    0.89
     ende
    0.83
    bnb
    0.83
    shire
    0.82
    emouth
    0.82
    lihood
    0.81
     seiz
    0.81
     intrins
    0.77
    Activations Density 0.008%

    No Known Activations