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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. 23494
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    INDEX
    Explanations

    numerical values and mathematical notation

    oai_token-act-pair · gpt-3.5-turbo

    elements relating to statistical data and numerical information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ase
    -0.98
     Beats
    -0.90
     Mos
    -0.88
     Marble
    -0.84
     Ara
    -0.84
     AZ
    -0.83
     abyss
    -0.83
     Alter
    -0.78
     ASP
    -0.78
     PAX
    -0.77
    POSITIVE LOGITS
    58
    1.40
    57
    1.30
    56
    1.28
    59
    1.24
     58
    1.22
    55
    1.21
     56
    1.21
     57
    1.18
     55
    1.10
     1958
    1.08
    Activations Density 0.236%

    No Known Activations