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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. 9-RES-JB
    11. 5825
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    Explanations

    chemical elements and minerals

    oai_token-act-pair · gpt-3.5-turbo

    chemical elements and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chool
    -0.84
     Marketplace
    -0.82
    opolis
    -0.79
    Own
    -0.78
    idays
    -0.75
    eday
    -0.74
    Brow
    -0.73
    edIn
    -0.73
    Stand
    -0.71
    meet
    -0.71
    POSITIVE LOGITS
     nitrogen
    1.49
     potassium
    1.48
     ammonia
    1.35
     calcium
    1.34
     sulfur
    1.32
     phosphorus
    1.32
     sodium
    1.31
     salts
    1.31
     phosphate
    1.30
     magnesium
    1.30
    Activations Density 0.266%

    No Known Activations