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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. 9-RES-JB
    11. 2651
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    Explanations

    names of individuals or specific terms related to them

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gors
    -0.89
     Fritz
    -0.83
    æł
    -0.76
     FSA
    -0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.75
     Entered
    -0.73
    è¦
    -0.72
     slicing
    -0.71
     Fors
    -0.71
     Irwin
    -0.70
    POSITIVE LOGITS
    am
    1.64
    amia
    1.34
    AM
    1.31
    ams
    1.28
    amer
    1.26
    aml
    1.23
    um
    1.21
    nam
    1.19
    ample
    1.17
    amate
    1.17
    Activations Density 0.186%

    No Known Activations