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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. 10-RES-JB
    11. 16207
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    Explanations

    mentions of specific names or people, particularly repeated instances of "Donald Trump", "John Trump", "House committee", and "Grassley"

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to political candidates and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.68
    cape
    -0.68
    bats
    -0.65
    pmwiki
    -0.63
    =-=-=-=-=-=-=-=-
    -0.63
     Catal
    -0.62
    ulia
    -0.62
    eric
    -0.61
    ti
    -0.60
     Manifest
    -0.60
    POSITIVE LOGITS
     Rodham
    0.81
    avanaugh
    0.71
    asse
    0.67
    esson
    0.64
    osen
    0.60
     Trump
    0.60
    Trump
    0.60
     chair
    0.59
     odor
    0.58
     chairs
    0.57
    Activations Density 0.021%

    No Known Activations