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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. 6-RES-JB
    11. 7104
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    Explanations

    financial terms or mentions of money

    oai_token-act-pair · gpt-3.5-turbo

    empty or minimal contextual elements, often indicating the absence of content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dresden
    -0.78
     Siber
    -0.72
     Oval
    -0.69
     Ange
    -0.68
     Moody
    -0.67
     Width
    -0.67
    ENDED
    -0.66
    dq
    -0.64
     Sturgeon
    -0.64
     Emin
    -0.63
    POSITIVE LOGITS
     money
    0.86
    payer
    0.86
     Donation
    0.85
     donated
    0.84
     donate
    0.80
     donations
    0.79
     donation
    0.79
     bribes
    0.77
     reward
    0.77
     incentives
    0.77
    Activations Density 0.548%

    No Known Activations