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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. 6-RES-JB
    11. 24472
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    oai_token-act-pair · gpt-3.5-turbo

    instances of complexity or challenges related to a subject being discussed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ange
    -0.84
    hement
    -0.73
     Zig
    -0.68
    uto
    -0.67
     Mechdragon
    -0.65
     Rei
    -0.64
     Yamato
    -0.64
    hing
    -0.63
    rina
    -0.63
     Zup
    -0.63
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    0.83
    ³³³³³³³³
    0.76
    prototype
    0.75
     causal
    0.71
    uliffe
    0.70
    shall
    0.69
    nesota
    0.67
    ufact
    0.66
    ranch
    0.66
     futures
    0.66
    Activations Density 0.069%

    No Known Activations