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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. 7-RES-JB
    11. 21745
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    Explanations

    phrases related to intense impact or high significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the action of blowing or references to whistles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIL
    -0.80
    eele
    -0.72
    iae
    -0.70
    IOR
    -0.70
    Stew
    -0.69
    DAY
    -0.69
    qq
    -0.67
    Adapt
    -0.66
    Scroll
    -0.66
    Skip
    -0.64
    POSITIVE LOGITS
     bridges
    0.90
     fuse
    0.90
     wrench
    0.77
    ascus
    0.75
     whistle
    0.72
    shit
    0.71
     havoc
    0.70
     blow
    0.69
     acrylic
    0.69
     doors
    0.66
    Activations Density 0.102%

    No Known Activations