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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. 4-RES-JB
    11. 2814
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    Explanations

    the word "wonder" or variations of it, along with related terms

    oai_token-act-pair · gpt-3.5-turbo

    words indicating wonder or amazement

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

    No Comments

    Negative Logits
    ©¶æ
    -0.72
    Æ
    -0.69
     increment
    -0.65
     hippocamp
    -0.64
     crawl
    -0.64
     entrants
    -0.61
     ABE
    -0.60
    Ĺ
    -0.60
    ¦
    -0.60
    Avg
    -0.59
    POSITIVE LOGITS
    ance
    0.89
    onder
    0.88
    lust
    0.87
    aire
    0.87
    enge
    0.85
    osa
    0.84
    ful
    0.84
    ãĤ¤ãĥĪ
    0.83
    oga
    0.82
    fulness
    0.81
    Activations Density 0.008%

    No Known Activations