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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. 18390
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    Explanations

    references to exemplary or ideal representations that can be emulated or learned from

    oai_token-act-pair · gpt-3.5-turbo

    references to models or frameworks for analysis and comparison

    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
    azar
    -0.91
    èª
    -0.82
     NOTICE
    -0.79
    plet
    -0.77
    des
    -0.75
    ooks
    -0.75
    hedon
    -0.72
    avez
    -0.71
    endo
    -0.67
    tones
    -0.67
    POSITIVE LOGITS
     model
    0.73
     exemplary
    0.72
     organism
    0.70
     whereby
    0.69
    model
    0.68
     Approach
    0.67
     Stellar
    0.64
    ĸļ
    0.63
     1886
    0.63
     approach
    0.62
    Activations Density 0.029%

    No Known Activations