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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 7373
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    Explanations

    terms related to government, politics, espionage, and military activities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific group identifiers related to entities and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eanor
    -0.75
    ibaba
    -0.73
    uyomi
    -0.69
    vable
    -0.67
    itars
    -0.67
    chwitz
    -0.65
    accessible
    -0.63
     positives
    -0.62
    comings
    -0.62
    ashtra
    -0.62
    POSITIVE LOGITS
    º
    0.60
    ¦
    0.59
     contractor
    0.59
     Writers
    0.59
     Logged
    0.57
     guiActiveUn
    0.56
     intermediary
    0.56
     commentator
    0.56
    ADA
    0.56
    eman
    0.56
    Activations Density 0.386%

    No Known Activations