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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. 7-RES-JB
    11. 1705
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    Explanations

    terms related to quantitative measurements, such as percentages and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    terms related to management and statistical metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     corro
    -0.56
    Äĩ
    -0.52
    natureconservancy
    -0.50
     rhet
    -0.48
     deterior
    -0.47
     accent
    -0.45
    anian
    -0.45
     crim
    -0.44
     contaminated
    -0.44
    imity
    -0.44
    POSITIVE LOGITS
    ·
    0.74
    ī
    0.72
    ®
    0.68
    »
    0.67
    «
    0.66
    IJ
    0.63
    OHN
    0.63
    º
    0.62
    ĵĺ
    0.62
    ãĥ¼ãĥĨãĤ£
    0.61
    Activations Density 2.350%

    No Known Activations