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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. 12-RES-JB
    11. 3772
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    INDEX
    Explanations

    proper nouns and specific names, particularly related to sports and technology

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of specific names and brands, particularly in the context of accomplishments or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ¯
    -0.65
    ennes
    -0.59
     membr
    -0.59
    âĨij
    -0.59
    opian
    -0.57
     nudity
    -0.57
    ãĤ§
    -0.57
     newcom
    -0.55
     dismant
    -0.55
    osuke
    -0.55
    POSITIVE LOGITS
    Vision
    0.80
    mouth
    0.73
    matic
    0.71
    state
    0.69
    jud
    0.68
    ba
    0.67
    step
    0.65
    gradation
    0.65
    steps
    0.64
    gers
    0.63
    Activations Density 0.215%

    No Known Activations