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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. 1-RES-JB
    11. 6358
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    Explanations

    references to the food item "beans"

    oai_token-act-pair · gpt-3.5-turbo

    references to types of beans and their significance in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raviolet
    -0.79
    ativity
    -0.71
     therapists
    -0.69
     mediation
    -0.67
     Voices
    -0.65
     shore
    -0.65
    cffff
    -0.65
     newcom
    -0.64
     psychiatric
    -0.64
     Overt
    -0.63
    POSITIVE LOGITS
     Beans
    1.54
     beans
    1.46
    bean
    1.28
    beans
    1.27
     bean
    1.06
    cakes
    1.01
    cake
    0.96
    enos
    0.94
    corn
    0.91
    aign
    0.91
    Activations Density 0.009%

    No Known Activations