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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
    11. 1382
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    Explanations

    references to once-in-a-lifetime experiences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lifetimes and physical activities, particularly in the context of weight lifting

    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
    rix
    -0.80
     Wallace
    -0.70
     IMAGES
    -0.66
    bay
    -0.66
    Ven
    -0.66
     Artemis
    -0.66
     Verd
    -0.65
     Bubble
    -0.65
     Exc
    -0.64
     Swansea
    -0.64
    POSITIVE LOGITS
    lif
    3.22
     Lif
    2.31
    lifting
    1.80
    nant
    1.30
     Amer
    1.26
    nah
    0.96
    oub
    0.95
     lif
    0.91
     Lum
    0.91
    rikes
    0.90
    Activations Density 0.075%

    No Known Activations