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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. 0-RES-JB
    11. 15067
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    INDEX
    Explanations

    ingredients in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    mentions of celery in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nano
    -0.86
     Zimmerman
    -0.85
    oxide
    -0.83
     Ramos
    -0.77
     Wave
    -0.77
     Hussain
    -0.76
    Rus
    -0.73
     Mining
    -0.71
     Raz
    -0.71
    ioxide
    -0.69
    POSITIVE LOGITS
     cel
    4.10
     gluten
    1.46
     monog
    1.45
     contin
    1.29
     pap
    1.10
     lic
    1.07
     carrot
    1.06
     fidelity
    1.06
     vegetarian
    1.02
     offic
    1.01
    Activations Density 0.025%

    No Known Activations