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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. 14049
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    terms related to nutritional content and health

    oai_token-act-pair · gpt-3.5-turbo

    terms related to nutrition and dietary content

    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
    76561
    -0.86
    ipal
    -0.75
    ker
    -0.74
    Untitled
    -0.71
    idable
    -0.70
     Tribune
    -0.67
    gotten
    -0.66
    flag
    -0.66
    ragon
    -0.66
     Siem
    -0.65
    POSITIVE LOGITS
    ritional
    1.38
    rition
    1.22
     nutrition
    1.16
    rients
    1.15
     supplementation
    1.10
    aceous
    1.09
     supplements
    1.07
     nutrit
    1.05
     diet
    1.05
     nutritional
    1.04
    Activations Density 0.086%

    No Known Activations