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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. 7099
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    Explanations

    hexadecimal representations

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or figures

    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
    ezvous
    -0.76
    hya
    -0.72
     largeDownload
    -0.72
    chell
    -0.71
    orius
    -0.70
     imperative
    -0.69
    heast
    -0.67
     bitters
    -0.65
    hetically
    -0.64
     Vik
    -0.64
    POSITIVE LOGITS
    80
    0.95
    765
    0.94
    808
    0.91
    70
    0.90
    655
    0.89
    ULT
    0.88
    78
    0.87
    680
    0.87
     ILCS
    0.86
    79
    0.85
    Activations Density 0.041%

    No Known Activations