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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. 6-RES-JB
    6. 16436
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    Explanations

    instances of satisfaction or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to satisfaction and fulfillment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    planes
    -0.67
    sung
    -0.66
    olan
    -0.65
    plane
    -0.63
     Luxem
    -0.62
    oss
    -0.62
    RN
    -0.62
    origin
    -0.62
    bold
    -0.61
    trop
    -0.61
    POSITIVE LOGITS
     Satisf
    1.17
     satisfied
    1.11
    atisf
    1.08
     satisfaction
    1.08
    ments
    1.03
    actory
    1.01
     satisf
    0.94
     satisfy
    0.89
    MENTS
    0.89
     satisfies
    0.89
    Activations Density 0.019%

    No Known Activations