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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. 10849
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    Explanations

    text related to embedding codes within a document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "embed" and its variations in different contexts

    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
    externalActionCode
    -0.87
     Sabha
    -0.86
    veyard
    -0.84
    ĸļ
    -0.77
    iard
    -0.72
     Weasley
    -0.68
    Ń·
    -0.68
    wagen
    -0.66
    okemon
    -0.66
    asonable
    -0.65
    POSITIVE LOGITS
    ding
    1.26
    ded
    1.15
    edded
    1.10
    embed
    1.00
    lement
    0.89
     embed
    0.89
    rities
    0.79
    rained
    0.79
     embedded
    0.78
    iframe
    0.77
    Activations Density 0.018%

    No Known Activations