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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. 0-RES-JB
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    Explanations

    the word "live" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of living or existence

    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
    limits
    -0.68
    dict
    -0.67
     Establishment
    -0.66
    ault
    -0.65
     Option
    -0.64
    hesis
    -0.64
    allo
    -0.63
    oward
    -0.63
    Attribute
    -0.63
    armor
    -0.62
    POSITIVE LOGITS
     live
    3.68
     LIVE
    2.66
    live
    2.62
     Live
    2.48
    Live
    2.37
     lived
    1.66
     reside
    1.55
     living
    1.42
     livest
    1.37
     livestream
    1.32
    Activations Density 0.021%

    No Known Activations