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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. 6-RES-JB
    11. 3656
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    INDEX
    Explanations

    keywords related to physical and chemical processes, such as reactions, emissions, absorptions, and interactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to physical states and processes in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outdated
    -0.70
    psc
    -0.70
     Franch
    -0.70
    Boss
    -0.70
     commod
    -0.70
    Ire
    -0.68
    Atlanta
    -0.67
     dads
    -0.66
    ashington
    -0.65
    Mobile
    -0.65
    POSITIVE LOGITS
     electrons
    0.96
     wavelength
    0.93
     electron
    0.92
    orescence
    0.91
     diameter
    0.89
     equilibrium
    0.88
     coefficient
    0.87
    ilibrium
    0.87
     particle
    0.87
     coefficients
    0.85
    Activations Density 0.363%

    No Known Activations