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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. 8332
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    Explanations

    technical procedures and methods

    oai_token-act-pair · gpt-3.5-turbo

    methods or techniques used in various processes

    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
     hoard
    -0.71
     Loyal
    -0.69
    endar
    -0.68
    abilia
    -0.66
     gloom
    -0.65
     Earthqu
    -0.64
    ãĥĺãĥ©
    -0.64
    女
    -0.63
     Ports
    -0.63
    deen
    -0.62
    POSITIVE LOGITS
     practiced
    1.41
     technique
    1.34
    method
    1.28
     techniques
    1.25
     pract
    1.24
     method
    1.19
     Techniques
    1.18
     methods
    1.14
     perfected
    1.14
     pioneered
    1.14
    Activations Density 0.495%

    No Known Activations