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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. 12-RES-JB
    11. 2490
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    Explanations

    phrases related to community engagement and subscription offers

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to community support and reader engagement in journalistic contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    âĶģ
    -0.83
    externalActionCode
    -0.81
    ãĤ¨ãĥ«
    -0.79
    Ó
    -0.76
     GOODMAN
    -0.76
    aque
    -0.71
    ople
    -0.69
    baugh
    -0.67
    thumbnails
    -0.66
    äºĶ
    -0.65
    POSITIVE LOGITS
    wic
    0.69
    support
    0.66
     supporting
    0.64
     support
    0.63
    iston
    0.63
     sponsoring
    0.59
     service
    0.58
     Support
    0.58
    missions
    0.58
    isher
    0.58
    Activations Density 0.061%

    No Known Activations