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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. 8-RES-JB
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    Explanations

    instances of the word "for"

    oai_token-act-pair · gpt-3.5-turbo

    end-of-text markers in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾
    -0.70
    egu
    -0.64
    å£
    -0.62
    oppable
    -0.61
    edin
    -0.60
    smanship
    -0.59
    aky
    -0.59
    wright
    -0.57
    hao
    -0.56
    BM
    -0.55
    POSITIVE LOGITS
    bidden
    1.07
     instance
    0.91
     example
    0.85
    gotten
    0.83
    instance
    0.80
    geries
    0.77
    gery
    0.77
     %%
    0.76
     Begin
    0.74
    ked
    0.71
    Activations Density 0.033%

    No Known Activations