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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. 8140
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    information related to different sources of energy

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of sources and energy

    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
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    Negative Logits
    aeper
    -0.72
    amen
    -0.69
    CHAT
    -0.64
    amaz
    -0.63
     jokes
    -0.60
     pants
    -0.60
    ãĥ£
    -0.58
     pione
    -0.57
     grandson
    -0.57
    emale
    -0.56
    POSITIVE LOGITS
     such
    0.84
     imaginable
    0.84
     besides
    0.83
     unrelated
    0.79
     including
    0.79
     accredited
    0.77
     like
    0.74
    ystem
    0.74
     sources
    0.72
     alike
    0.72
    Activations Density 0.458%

    No Known Activations