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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. 10-RES-JB
    11. 4564
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    INDEX
    Explanations

    technological terms and company names related to energy or power

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific entities, particularly in the context of technology and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ructure
    -0.69
    iage
    -0.63
    MENTS
    -0.62
    enery
    -0.60
    ãĥł
    -0.60
    ICES
    -0.60
    ousands
    -0.60
    ¿½
    -0.59
    umption
    -0.59
    anza
    -0.58
    POSITIVE LOGITS
    worthy
    1.11
     incarn
    1.05
    compatible
    1.05
    eligible
    1.01
    isible
    0.99
     compatible
    0.97
     fodder
    0.94
     compliant
    0.93
    mable
    0.88
    ophobic
    0.88
    Activations Density 0.337%

    No Known Activations