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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. 10692
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    Explanations

    language related to negative emotions and conflicts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" indicating conflict or tension

    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
     caut
    -0.65
    chell
    -0.65
    aunder
    -0.63
    HAEL
    -0.59
     avail
    -0.59
     shalt
    -0.58
    essor
    -0.58
    onym
    -0.57
    USB
    -0.57
     eas
    -0.56
    POSITIVE LOGITS
    effic
    1.32
    efficiency
    1.28
     regards
    1.26
    roads
    1.23
     favor
    1.12
     lieu
    1.11
     relation
    1.10
     spite
    1.06
     regard
    1.03
    ordinate
    1.02
    Activations Density 0.408%

    No Known Activations