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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. 9-RES-JB
    6. 7788
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    Explanations

    adjectives and nouns related to characteristics and attributes

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to societal flaws and moral dilemmas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OWS
    -0.68
    ares
    -0.64
     Picks
    -0.64
    ãĤ´ãĥ³
    -0.62
    Ĥİ
    -0.61
    catentry
    -0.61
     Dreams
    -0.59
     ç¥ŀ
    -0.59
    _-
    -0.58
    would
    -0.58
    POSITIVE LOGITS
     lurking
    1.14
     involved
    0.99
     waiting
    0.98
     underway
    0.95
     attached
    0.92
     available
    0.92
     awaiting
    0.85
     underneath
    0.84
     behind
    0.84
     happening
    0.83
    Activations Density 0.440%

    No Known Activations