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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. 8-RES-JB
    6. 23134
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    Explanations

    phrases related to actions taken or decisions made by notable entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or characteristics related to conflict or noteworthy events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atin
    -0.65
    lex
    -0.64
    ,,,,
    -0.63
    ctions
    -0.63
    nis
    -0.62
    dds
    -0.61
    cb
    -0.61
    acs
    -0.60
    .;
    -0.60
    .",
    -0.60
    POSITIVE LOGITS
     incidentally
    0.92
     respectively
    0.73
     admittedly
    0.70
     prominently
    0.70
     unsuccessfully
    0.68
     ironically
    0.65
     presumably
    0.62
    ulo
    0.62
     essentially
    0.62
     famously
    0.61
    Activations Density 0.391%

    No Known Activations