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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. 0-RES-JB
    11. 17030
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    Explanations

    phrases related to extracting substances or information

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "extract" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rian
    -0.71
     Kobe
    -0.68
     Shy
    -0.67
     Wi
    -0.67
    ¥µ
    -0.66
    planes
    -0.66
    leneck
    -0.65
     staffed
    -0.64
     Athe
    -0.64
    lan
    -0.64
    POSITIVE LOGITS
     extract
    3.90
     Extract
    2.72
     extracts
    2.67
     extracting
    2.52
     extraction
    2.41
     extracted
    2.40
     isolate
    1.32
     compress
    1.13
     excerpt
    1.12
     inject
    1.09
    Activations Density 0.017%

    No Known Activations