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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. 11-RES-JB
    6. 3270
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    INDEX
    Explanations

    comparative adjectives ending in -er

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to increasing tension or complications in various situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    lean
    -0.86
    leans
    -0.79
    icle
    -0.66
    PROV
    -0.65
    ufact
    -0.64
    finder
    -0.63
    fits
    -0.63
    poon
    -0.63
    psc
    -0.61
    Percent
    -0.60
    POSITIVE LOGITS
     tensions
    1.49
     suspicions
    1.20
     tension
    1.18
     polarization
    1.11
     fears
    1.10
     mistrust
    1.10
     hostilities
    1.07
     instability
    1.05
     resentment
    1.04
     uncertainty
    1.04
    Activations Density 0.143%

    No Known Activations