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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. 11-RES-JB
    6. 4332
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    Explanations

    words related to locations on the border

    oai_token-act-pair · gpt-3.5-turbo

    words related to relationships and their dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ORED
    -0.68
     record
    -0.57
     caution
    -0.56
     appropriately
    -0.56
     wise
    -0.56
    PHOTOS
    -0.54
     UID
    -0.53
    QUI
    -0.53
     trap
    -0.52
     allowances
    -0.52
    POSITIVE LOGITS
    mere
    1.04
    isi
    0.91
    enz
    0.89
    gling
    0.84
    zinski
    0.84
    sch
    0.84
    stad
    0.83
    iminary
    0.83
    ukong
    0.82
    enburg
    0.82
    Activations Density 0.109%

    No Known Activations