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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. 9-RES-JB
    11. 16454
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    details related to forum posts and user profiles

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and associated metrics related to posts or activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĢij
    -0.84
     ÂŃ
    -0.83
    âĢIJ
    -0.68
    ë
    -0.66
    âĢ²
    -0.64
     entreprene
    -0.63
     perme
    -0.63
    æ©
    -0.63
     adversaries
    -0.61
     envelop
    -0.61
    POSITIVE LOGITS
     Quote
    1.31
    Quote
    1.12
     Seems
    0.99
     Defin
    0.99
     Interesting
    0.98
    HAHA
    0.96
    HAHAHAHA
    0.93
     Looks
    0.91
     Didn
    0.90
     :(
    0.90
    Activations Density 0.191%

    No Known Activations