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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. 1-RES-JB
    11. 6881
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    Explanations

    words related to events or actions associated with significant consequences, potentially of an intense or dire nature

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate ongoing actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neut
    -0.62
    displayText
    -0.59
    onyms
    -0.52
    cedented
    -0.52
    odynam
    -0.50
    ometric
    -0.46
     supplemental
    -0.45
     transistor
    -0.45
    actionDate
    -0.45
    itone
    -0.45
    POSITIVE LOGITS
    hower
    0.68
    minster
    0.54
     Adin
    0.51
    ierre
    0.51
    riors
    0.50
     Badge
    0.50
    ful
    0.50
    ahime
    0.50
     Supported
    0.49
     Returns
    0.49
    Activations Density 0.554%

    No Known Activations