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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. 23626
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    INDEX
    Explanations

    words related to knowledge, activities, and experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to knowledge-based activities and consent

    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
    Äĩ
    -0.67
    Äį
    -0.66
     Tycoon
    -0.60
    anova
    -0.60
    ciation
    -0.60
    PF
    -0.58
    Unix
    -0.58
    soDeliveryDate
    -0.57
    orld
    -0.56
    wagen
    -0.56
    POSITIVE LOGITS
     Lauder
    0.59
     Scholars
    0.55
    icit
    0.54
     cand
    0.52
     Occupations
    0.51
    speech
    0.49
    iae
    0.49
    doi
    0.49
    athering
    0.48
     Cly
    0.47
    Activations Density 1.008%

    No Known Activations