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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. 16710
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    Explanations

    references to different types of beans

    oai_token-act-pair · gpt-3.5-turbo

    references to beans and related bean products

    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
    cffff
    -0.86
    nces
    -0.80
    igree
    -0.74
     Sloan
    -0.69
    ntil
    -0.67
    uyomi
    -0.67
     newcom
    -0.66
     mathemat
    -0.65
    utherford
    -0.65
    raviolet
    -0.65
    POSITIVE LOGITS
     Beans
    1.32
    bean
    1.23
    beans
    1.20
     beans
    1.16
    bags
    0.95
    aign
    0.95
    bag
    0.91
    cake
    0.91
     bean
    0.91
    otle
    0.90
    Activations Density 0.009%

    No Known Activations