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    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. 22012
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    Explanations

    specific references to the term "Lost" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Lost" associated with various contexts

    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
     pist
    -0.76
     enthusi
    -0.74
     grocer
    -0.69
     respons
    -0.67
    emaker
    -0.67
    eter
    -0.64
    rad
    -0.63
    PET
    -0.62
    elli
    -0.62
     rounds
    -0.61
    POSITIVE LOGITS
     Lost
    3.72
    Lost
    3.11
    lost
    2.48
     lost
    1.70
     Forgotten
    1.54
     Shattered
    1.43
     Lose
    1.39
     Gained
    1.36
     Missing
    1.34
     Haunted
    1.33
    Activations Density 0.022%

    No Known Activations