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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. 3-RES-JB
    11. 77
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    Explanations

    references to academic institutions or programs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of educational or training institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ests
    -0.75
    olls
    -0.71
     Bundy
    -0.65
    thy
    -0.63
     Malone
    -0.62
     Maps
    -0.62
    maps
    -0.62
    çİĭ
    -0.61
     Meier
    -0.61
    Copyright
    -0.60
    POSITIVE LOGITS
     academy
    1.07
     acad
    0.87
    æ©
    0.79
    GGGGGGGG
    0.76
     corps
    0.75
    onte
    0.73
    lain
    0.72
     millenn
    0.71
    keepers
    0.70
    ctor
    0.69
    Activations Density 0.009%

    No Known Activations