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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. 23151
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    Explanations

    measurements related to cooking ingredients

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities related to food ingredients

    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
    udi
    -0.69
    arlane
    -0.63
    AMY
    -0.62
    alia
    -0.60
    achus
    -0.60
    organ
    -0.60
    amera
    -0.60
    onduct
    -0.59
    glers
    -0.59
    agna
    -0.59
    POSITIVE LOGITS
     tsp
    1.04
    ths
    1.04
     teaspoon
    1.03
    âĢ³
    0.90
     cup
    0.86
     inch
    0.84
     teasp
    0.84
     mile
    0.81
    rd
    0.75
    th
    0.74
    Activations Density 0.049%

    No Known Activations