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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. 7-RES-JB
    11. 20043
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    Explanations

    specific items or characteristics, such as model numbers, animals, products, and projects, within longer texts

    oai_token-act-pair · gpt-3.5-turbo

    nouns that represent physical objects, entities, or concepts associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ync
    -0.74
    cale
    -0.74
    hots
    -0.69
    dated
    -0.68
    DragonMagazine
    -0.67
    ionage
    -0.67
    ccording
    -0.67
    toggle
    -0.63
    rontal
    -0.60
    ï¸ı
    -0.60
    POSITIVE LOGITS
     itself
    1.27
    osphere
    0.91
     owner
    0.80
     boundary
    0.79
    's
    0.78
    iverse
    0.78
     beforehand
    0.78
    holder
    0.75
     creator
    0.73
     envelope
    0.73
    Activations Density 0.385%

    No Known Activations