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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. 9-RES-JB
    11. 9941
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    Explanations

    technical or specialized terms related to various fields such as medicine, law, sports, and technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various fields of study and topics of significance, particularly those with legal, mathematical, or technological relevance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eway
    -0.65
    andum
    -0.65
     Dalai
    -0.64
    apego
    -0.63
    ossibility
    -0.63
    ouf
    -0.63
    yip
    -0.61
     itch
    -0.60
     bandwagon
    -0.60
     Borg
    -0.59
    POSITIVE LOGITS
     circles
    1.23
     contexts
    1.21
     guise
    1.20
    speak
    1.10
     increments
    1.09
     mode
    1.07
     terms
    1.00
     settings
    0.98
     situations
    0.97
     context
    0.92
    Activations Density 0.683%

    No Known Activations