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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. 669
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    Explanations

    terms related to innovation, transformation, and revolution

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to significant changes or advancements in technology and their potential impact

    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
    ufficient
    -0.67
    pmwiki
    -0.66
     avail
    -0.66
    wcsstore
    -0.64
     requisite
    -0.63
    uncle
    -0.60
     recite
    -0.59
     partake
    -0.59
     exagger
    -0.59
    enza
    -0.59
    POSITIVE LOGITS
     humankind
    0.95
     paradigm
    0.93
     lives
    0.91
     humanity
    0.82
     fortunes
    0.82
     ecosystems
    0.82
     Lives
    0.78
     mankind
    0.77
     WORLD
    0.75
    ahime
    0.74
    Activations Density 0.304%

    No Known Activations