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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. 20037
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    Explanations

    complete sentences, especially those with emphasized words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "sentence" along with variations in sentence structure

    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
     RIS
    -0.84
    sie
    -0.77
    BLIC
    -0.76
    rists
    -0.74
    orsi
    -0.73
    ikarp
    -0.72
    IED
    -0.72
     Tribune
    -0.71
    cler
    -0.70
    aucus
    -0.69
    POSITIVE LOGITS
     uttered
    1.14
     sentences
    1.04
     sentence
    0.98
     phrases
    0.85
     paragraphs
    0.83
     quotation
    0.81
     grammar
    0.80
     summ
    0.80
     utter
    0.79
    matical
    0.78
    Activations Density 0.012%

    No Known Activations