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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. 9-RES-JB
    11. 14289
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    Explanations

    mentions of the word "Ban" with different levels of significance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Ban" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Generations
    -0.65
     IMAGES
    -0.65
    sie
    -0.62
     SERVICE
    -0.61
    paio
    -0.61
    ctl
    -0.60
     WARNING
    -0.60
     winds
    -0.59
    çīĪ
    -0.58
     Remastered
    -0.55
    POSITIVE LOGITS
    anas
    1.29
    ished
    1.17
    quet
    1.12
    nered
    1.09
    jo
    1.02
    ishment
    1.02
    nery
    1.00
    anan
    0.99
    ner
    0.97
    aji
    0.97
    Activations Density 0.030%

    No Known Activations