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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
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    Explanations

    large amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    numerical values specifically related to large sums of money

    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
     Altern
    -0.64
     Kali
    -0.62
    anwhile
    -0.62
     Trials
    -0.62
    raints
    -0.61
     chill
    -0.61
     Lovecraft
    -0.60
     Ends
    -0.58
     luck
    -0.58
     Period
    -0.57
    POSITIVE LOGITS
    aires
    1.13
    aire
    1.07
    naire
    0.86
    imet
    0.84
    million
    0.82
    ertodd
    0.81
    imeter
    0.76
    emouth
    0.75
    neau
    0.72
    illery
    0.72
    Activations Density 0.010%

    No Known Activations