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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. 10-RES-JB
    6. 9429
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    Explanations

    first-person statements expressing awareness or ability in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal awareness and concern

    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
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    No Comments

    Negative Logits
    SIGN
    -0.59
    quished
    -0.59
    atars
    -0.58
    rus
    -0.58
     Harvest
    -0.58
    VIDEO
    -0.57
     Slov
    -0.57
     Photograph
    -0.57
    ima
    -0.56
    ————————
    -0.55
    POSITIVE LOGITS
     concerned
    1.15
     recollection
    0.79
     knowledge
    0.78
     ascertain
    0.77
     aware
    0.77
    knowledge
    0.72
     know
    0.69
     understanding
    0.69
    resp
    0.67
    lege
    0.65
    Activations Density 0.051%

    No Known Activations