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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. 10-RES-JB
    11. 10225
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    Explanations

    phrases related to facing challenges and overcoming obstacles

    oai_token-act-pair · gpt-3.5-turbo

    references to personal struggles and the complexities of life experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    FactoryReloaded
    -0.75
    USS
    -0.71
     enthusi
    -0.71
    dit
    -0.66
    idently
    -0.65
    ãĤ¶
    -0.65
    è£ħ
    -0.63
     millenn
    -0.63
    audi
    -0.63
    aucuses
    -0.63
    POSITIVE LOGITS
     conquer
    0.87
    .",
    0.84
    evil
    0.84
    "},
    0.82
     bends
    0.82
    .")
    0.81
    !",
    0.80
     perish
    0.80
     losers
    0.79
    truth
    0.78
    Activations Density 0.548%

    No Known Activations