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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
    11. 23989
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    Explanations

    references to asking for or providing information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to identity and personal attributes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¦]
    -0.52
    Prince
    -0.52
     Shattered
    -0.51
    })
    -0.49
    Ct
    -0.48
    Minecraft
    -0.47
    },
    -0.47
     Philippe
    -0.47
    /**
    -0.46
     };
    -0.44
    POSITIVE LOGITS
     millenn
    0.58
     streng
    0.57
     trave
    0.56
     compan
    0.53
     sincerity
    0.53
     proble
    0.52
     intention
    0.51
     enthusi
    0.51
     innocence
    0.51
     horizont
    0.50
    Activations Density 1.168%

    No Known Activations