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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. 3151
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    Explanations

    references to the intended audience or viewership, as well as mentions of reaching or connecting with them

    oai_token-act-pair · gpt-3.5-turbo

    references to an audience or viewers

    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
    erald
    -0.65
     Scot
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    loo
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    grave
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    phrine
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    nir
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     Plum
    -0.61
    abs
    -0.60
     Ide
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    bats
    -0.60
    POSITIVE LOGITS
    atics
    0.88
     member
    0.84
     members
    0.83
    atic
    0.80
     audiences
    0.79
     audience
    0.79
    members
    0.78
    atically
    0.77
    iences
    0.75
     Favorite
    0.69
    Activations Density 0.030%

    No Known Activations