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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. 11-RES-JB
    11. 987
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    INDEX
    Explanations

    ints and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to percentages and statistical measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     diction
    -0.63
     Ages
    -0.61
     ages
    -0.60
     vengeance
    -0.59
     ancest
    -0.58
     laced
    -0.57
     sorely
    -0.55
     indo
    -0.54
     bordering
    -0.54
     Uk
    -0.53
    POSITIVE LOGITS
    603
    1.05
    xc
    1.02
    xff
    0.99
    xa
    0.99
    xd
    0.96
    805
    0.96
    600
    0.91
    ubuntu
    0.90
    409
    0.90
    xb
    0.89
    Activations Density 0.023%

    No Known Activations