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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. 5849
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    Explanations

    personal names or names of locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated names or references, particularly focusing on individuals

    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
    sw
    -0.83
    beard
    -0.78
    gow
    -0.75
    olson
    -0.72
     Shape
    -0.72
    north
    -0.69
    lass
    -0.67
    tal
    -0.66
     Paint
    -0.65
    stones
    -0.65
    POSITIVE LOGITS
    usha
    0.83
    ée
    0.79
    pload
    0.79
    imi
    0.77
    pta
    0.77
    æ©Ł
    0.77
     bombed
    0.74
     Nunes
    0.73
    abilia
    0.71
    issance
    0.71
    Activations Density 0.020%

    No Known Activations