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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. 14455
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    Explanations

    phrases related to buying and selling products or services

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" indicating actions or transactions

    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
     largeDownload
    -0.69
    natureconservancy
    -0.66
     articulated
    -0.66
    nect
    -0.63
     VIDEOS
    -0.63
     exacerbated
    -0.63
    heimer
    -0.63
     sugg
    -0.62
     moder
    -0.62
    bara
    -0.62
    POSITIVE LOGITS
     unsuspecting
    0.86
     commemorate
    0.83
    ilet
    0.83
    pload
    0.80
     whoever
    0.76
     buyers
    0.75
     satisfy
    0.75
     collectors
    0.73
     appease
    0.71
    lling
    0.70
    Activations Density 0.152%

    No Known Activations