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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 24176
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    INDEX
    Explanations

    phrases related to long-term or extensive activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of journeys and operations

    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
     positives
    -0.72
    amples
    -0.72
     exceptions
    -0.70
     slightest
    -0.69
    addons
    -0.68
     chances
    -0.67
    iaries
    -0.66
    nor
    -0.66
     stickers
    -0.66
     drawbacks
    -0.64
    POSITIVE LOGITS
     spanning
    1.23
     consisting
    1.18
     dubbed
    1.10
     culminating
    1.09
     involving
    1.09
     aimed
    1.07
     centered
    1.05
     encomp
    1.03
     spearheaded
    1.03
     reminiscent
    1.02
    Activations Density 0.447%

    No Known Activations