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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. 9-RES-JB
    11. 3200
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    Explanations

    words related to giving thanks or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.79
    Ranked
    -0.70
    rencies
    -0.70
    heid
    -0.66
    quickShipAvailable
    -0.66
    ment
    -0.66
    Self
    -0.66
    loss
    -0.64
    isSpecialOrderable
    -0.64
    seekers
    -0.64
    POSITIVE LOGITS
     generously
    0.93
     spotting
    0.92
     sponsoring
    0.90
     tip
    0.80
     scripting
    0.78
     hosting
    0.78
     inspiration
    0.76
     supplying
    0.74
     invaluable
    0.74
     organising
    0.73
    Activations Density 0.118%

    No Known Activations