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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. 1-RES-JB
    11. 4906
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    Explanations

    specific numbers, such as monetary figures or quantities

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values related to financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sworth
    -0.80
    eks
    -0.79
    enzie
    -0.79
    fare
    -0.78
    piece
    -0.78
    orical
    -0.74
    court
    -0.71
    usky
    -0.70
    omic
    -0.70
     Organisation
    -0.69
    POSITIVE LOGITS
    PDATE
    0.96
     tremend
    0.80
    interstitial
    0.76
    278
    0.76
    aution
    0.75
     satell
    0.73
    vernment
    0.72
    acebook
    0.71
    ModLoader
    0.70
     tiss
    0.69
    Activations Density 0.024%

    No Known Activations