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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. 3017
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    Explanations

    elements and compounds related to minerals, vitamins, and techniques used in water treatment

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

    references to vitamins and minerals, particularly those related to health and nutrition

    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
    OWS
    -0.91
    UNCH
    -0.87
     Gateway
    -0.76
    Operation
    -0.74
     Consortium
    -0.73
    issance
    -0.72
    opolis
    -0.70
    soType
    -0.69
    ãĥ¼ãĥ³
    -0.69
    Mail
    -0.69
    POSITIVE LOGITS
     potassium
    1.33
     magnesium
    1.24
     phosphorus
    1.21
     sodium
    1.19
     iodine
    1.17
     calcium
    1.17
     chlorine
    1.14
     ammon
    1.12
     zinc
    1.12
     sulfur
    1.12
    Activations Density 0.159%

    No Known Activations