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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. 4-RES-JB
    11. 13659
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    Explanations

    brand names related to popular soda companies

    oai_token-act-pair · gpt-3.5-turbo

    references to popular soft drink brands and related products

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

    No Comments

    Negative Logits
    ittance
    -0.79
    doms
    -0.76
    HCR
    -0.75
    igmat
    -0.73
    oppable
    -0.70
    */(
    -0.69
    ailable
    -0.68
     rapt
    -0.67
    endez
    -0.65
     IMAGES
    -0.64
    POSITIVE LOGITS
    Cola
    1.41
     Coke
    1.25
     Pepsi
    1.06
     Coca
    1.05
     bottle
    1.01
     Bottle
    1.01
     bottles
    0.96
     soda
    0.96
    Bott
    0.93
    bott
    0.85
    Activations Density 0.005%

    No Known Activations