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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. 16450
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    Explanations

    phrases related to quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to small quantities or segments

    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
    verbs
    -0.59
     anticipation
    -0.51
    Recomm
    -0.51
     rapport
    -0.49
    ullivan
    -0.49
    urat
    -0.49
     encour
    -0.49
    foreseen
    -0.48
     Correspond
    -0.48
    iola
    -0.48
    POSITIVE LOGITS
     thereof
    1.08
     of
    0.96
    atical
    0.87
    eenth
    0.86
    icularly
    0.80
    istical
    0.74
    atel
    0.72
    erest
    0.71
     Of
    0.71
    Of
    0.71
    Activations Density 0.084%

    No Known Activations