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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. 20712
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    INDEX
    Explanations

    mentions of or references to mud

    oai_token-act-pair · gpt-3.5-turbo

    mentions of mud

    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
    =-=-=-=-
    -0.80
    ITAL
    -0.78
    Recommend
    -0.73
    zona
    -0.72
    Sax
    -0.69
    $$
    -0.67
    ################
    -0.67
    ECT
    -0.66
    =-=-=-=-=-=-=-=-
    -0.66
    Vert
    -0.65
    POSITIVE LOGITS
     mud
    1.09
    alore
    0.79
     dred
    0.78
    weed
    0.78
    iquette
    0.77
    geon
    0.76
    escription
    0.75
    urai
    0.74
     dirt
    0.74
     slime
    0.74
    Activations Density 0.006%

    No Known Activations