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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. 3-RES-JB
    11. 18501
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    Explanations

    phrases related to idiomatic expressions involving the word "grain"

    oai_token-act-pair · gpt-3.5-turbo

    references to "grain" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.67
    undai
    -0.67
    opausal
    -0.66
    arios
    -0.65
     contemplated
    -0.65
    attled
    -0.63
    joining
    -0.62
     unsuccessfully
    -0.62
     partnered
    -0.61
     battled
    -0.60
    POSITIVE LOGITS
     grains
    1.21
    grain
    1.11
     grain
    1.10
     Grain
    1.00
    aceutical
    0.90
    osate
    0.85
     Foods
    0.76
    stocks
    0.76
     farms
    0.76
     flakes
    0.75
    Activations Density 0.006%

    No Known Activations