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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 23904
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    Explanations

    phrases related to emotions and feelings, particularly about hearts

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "hearts" and emotional connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sweeney
    -0.76
    Recomm
    -0.69
    ress
    -0.69
    artment
    -0.68
    ression
    -0.66
    Plan
    -0.62
    nce
    -0.62
    ulia
    -0.61
     maneuvers
    -0.60
    vice
    -0.59
    POSITIVE LOGITS
    chool
    1.21
    mith
    1.12
    pring
    1.11
     hearts
    1.06
    creen
    0.99
    ystem
    0.94
    hare
    0.90
    peak
    0.89
    ight
    0.89
    ets
    0.88
    Activations Density 0.019%

    No Known Activations