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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. 11-RES-JB
    11. 11344
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    Explanations

    instructions or steps in technical processes

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to software installations and updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    çīĪ
    -0.82
    jah
    -0.82
    enture
    -0.77
    ulture
    -0.73
    ¬¼
    -0.72
     Nation
    -0.71
    rolet
    -0.71
    fty
    -0.67
    onne
    -0.63
    kamp
    -0.62
    POSITIVE LOGITS
     automatically
    1.33
     itself
    1.07
     its
    1.01
     dynamically
    0.91
     incoming
    0.86
     your
    0.86
     randomly
    0.83
     cached
    0.83
     correctly
    0.82
     notifications
    0.80
    Activations Density 0.244%

    No Known Activations