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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. 18574
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    Explanations

    keywords related to the retail store "Target"

    oai_token-act-pair · gpt-3.5-turbo

    references to the brand Target

    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
     Oliv
    -0.72
     traged
    -0.71
    URR
    -0.68
    UGE
    -0.67
    ISTORY
    -0.65
    galitarian
    -0.64
    tx
    -0.62
     unlikely
    -0.62
    aut
    -0.62
     Geological
    -0.61
    POSITIVE LOGITS
     Pilgrim
    0.81
    achusetts
    0.76
    pling
    0.75
    ted
    0.75
    ed
    0.75
    izen
    0.74
     Eag
    0.73
    edin
    0.72
    ovo
    0.69
    Target
    0.69
    Activations Density 0.012%

    No Known Activations