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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. 5-RES-JB
    6. 11419
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    INDEX
    Explanations

    phrases related to certain actions or behaviors, such as managing devices or asking questions

    oai_token-act-pair · gpt-3.5-turbo

    references to public concern or speculation about various issues affecting many individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advertisement
    -0.84
     Deadly
    -0.70
     Chimera
    -0.66
    cknow
    -0.65
     Dragonbound
    -0.61
     Eag
    -0.60
    pelling
    -0.59
    worthiness
    -0.58
    ativity
    -0.57
     afore
    -0.57
    POSITIVE LOGITS
     devoted
    0.71
     overlooked
    0.67
    published
    0.66
    Thumbnail
    0.65
    erred
    0.64
     mistakenly
    0.64
     redund
    0.63
    chers
    0.62
    Austral
    0.62
     understandably
    0.62
    Activations Density 0.482%

    No Known Activations