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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. 15847
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    Explanations

    phrases related to the concept of something being enshrined or encapsulated

    oai_token-act-pair · gpt-3.5-turbo

    words with suffixes that indicate processes or actions related to encapsulation and formalization

    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
    abet
    -0.60
    arat
    -0.57
    perature
    -0.56
    oter
    -0.54
    MAT
    -0.53
    iw
    -0.53
    hang
    -0.52
     stripes
    -0.52
    esan
    -0.52
    allows
    -0.52
    POSITIVE LOGITS
     aback
    0.87
    nesday
    0.80
    escription
    0.80
    ieval
    0.73
    ouble
    0.72
    monton
    0.72
    DeliveryDate
    0.71
    uled
    0.70
    elta
    0.68
     destro
    0.67
    Activations Density 0.130%

    No Known Activations