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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. 16014
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    INDEX
    Explanations

    phrases expressing positive feelings or approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal preference or enjoyment

    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
    arta
    -0.99
    inas
    -0.86
    Dispatch
    -0.84
    src
    -0.78
    voy
    -0.76
    impl
    -0.74
    cession
    -0.74
    esi
    -0.71
    apers
    -0.71
    tech
    -0.68
    POSITIVE LOGITS
    lihood
    1.37
    76561
    1.04
    lier
    0.87
     liking
    0.84
    liest
    0.80
    ably
    0.79
     Likes
    0.76
    nesday
    0.75
    joy
    0.74
     Muss
    0.73
    Activations Density 0.024%

    No Known Activations