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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. 11002
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    Explanations

    phrases related to programming functions or methods

    oai_token-act-pair · gpt-3.5-turbo

    sentences that denote the end of thought or statement

    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
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    Negative Logits
     affili
    -0.84
     gunfire
    -0.80
     footing
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     cradle
    -0.77
     unheard
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     patron
    -0.74
     apparel
    -0.74
     calming
    -0.71
     enthusi
    -0.71
     portraits
    -0.71
    POSITIVE LOGITS
     However
    1.38
     Therefore
    1.34
     Additionally
    1.33
     Alternatively
    1.29
     Unfortunately
    1.24
     Whilst
    1.23
     Moreover
    1.23
     Furthermore
    1.23
     Depending
    1.23
     Specifically
    1.21
    Activations Density 0.647%

    No Known Activations