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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. 10-RES-JB
    11. 12137
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    Explanations

    phrases indicating limits or boundaries

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing potential and achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abase
    -0.59
    ktop
    -0.58
    alore
    -0.56
     aback
    -0.56
    onics
    -0.56
     intrins
    -0.55
    gard
    -0.53
    heny
    -0.53
     assemblies
    -0.52
    ricular
    -0.52
    POSITIVE LOGITS
    é¾įåĸļ士
    0.66
    icker
    0.61
    ļéĨĴ
    0.60
    cookie
    0.59
     ðŁ
    0.57
    $$
    0.56
    arer
    0.54
     Face
    0.54
    abba
    0.54
     ÙĪ
    0.53
    Activations Density 0.185%

    No Known Activations