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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. 11-RES-JB
    11. 1000
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    Explanations

    words related to specific religious practices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Shabbat" and its variations

    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
    piece
    -0.69
    most
    -0.67
     Reserve
    -0.64
    mong
    -0.64
    ptives
    -0.62
     Gutenberg
    -0.62
    vern
    -0.62
    ve
    -0.61
    runners
    -0.58
     Lum
    -0.58
    POSITIVE LOGITS
    inical
    1.16
    inic
    1.12
    itt
    1.00
    atical
    0.99
    its
    0.96
    è¦ļéĨĴ
    0.94
    alist
    0.92
    ucket
    0.87
    iah
    0.87
    agh
    0.87
    Activations Density 0.040%

    No Known Activations