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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. 2-RES-JB
    11. 13794
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    Explanations

    the concept of satisfaction or contentment

    oai_token-act-pair · gpt-3.5-turbo

    words related to gratitude and gratification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Construct
    -0.74
    opers
    -0.67
     Breaker
    -0.67
     Formation
    -0.66
     Hemp
    -0.66
    ECH
    -0.64
     Equity
    -0.62
     Tycoon
    -0.61
     FIGHT
    -0.60
    opic
    -0.60
    POSITIVE LOGITS
    uitous
    1.42
     grat
    1.31
    uously
    0.98
    uity
    0.94
    iously
    0.92
    uit
    0.92
    ified
    0.90
    ific
    0.87
    uous
    0.84
    ãĥ¼ãĤ¯
    0.84
    Activations Density 0.010%

    No Known Activations