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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. 12445
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    Explanations

    words related to negative sentiments or feelings, particularly strong dislike or hatred

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "loathe" or related expressions of strong dislike

    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
     Norn
    -0.84
    rity
    -0.81
    */(
    -0.76
    hower
    -0.76
    glass
    -0.75
    rition
    -0.72
    sonian
    -0.71
    lished
    -0.69
    ITAL
    -0.67
    manship
    -0.67
    POSITIVE LOGITS
    oser
    1.04
    aning
    1.02
    aned
    1.01
    veland
    1.00
    aves
    0.95
    fty
    0.92
    zzle
    0.92
    ppy
    0.91
    ven
    0.90
    obb
    0.90
    Activations Density 0.009%

    No Known Activations