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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. 9353
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    Explanations

    movie titles, technology-related terms, and company names

    oai_token-act-pair · gpt-3.5-turbo

    references to popular culture and media

    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
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    Negative Logits
    ļéĨĴ
    -0.59
    $$$$
    -0.59
     ......
    -0.56
    ,,,,
    -0.54
    ©¶æ
    -0.54
     heel
    -0.54
    itored
    -0.53
    uminati
    -0.52
    ategory
    -0.51
     unequ
    -0.51
    POSITIVE LOGITS
    odied
    0.65
     represents
    0.61
    foo
    0.59
     relies
    0.59
    MN
    0.59
    Fest
    0.58
    topia
    0.58
     Adventure
    0.56
    zb
    0.56
     Prix
    0.54
    Activations Density 0.512%

    No Known Activations