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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. 1-RES-JB
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    Explanations

    terms related to new ideas or advancements typically in the context of technology or business industries

    oai_token-act-pair · gpt-3.5-turbo

    references to innovation across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.87
     Gulf
    -0.64
    than
    -0.63
    onz
    -0.62
    avering
    -0.61
    mon
    -0.60
     Peninsula
    -0.60
    esthetic
    -0.59
    adder
    -0.59
    asp
    -0.59
    POSITIVE LOGITS
     innovation
    1.19
     innov
    1.08
    ulence
    0.94
     innovations
    0.88
     proble
    0.88
     innovate
    0.86
     Innovation
    0.83
     excellence
    0.82
    GGGGGGGG
    0.81
    ulkan
    0.81
    Activations Density 0.014%

    No Known Activations