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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. 11-RES-JB
    11. 11212
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    Explanations

    materials or substances that are commonly used in construction or energy production

    oai_token-act-pair · gpt-3.5-turbo

    references to natural substances and materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advocate
    -0.84
    atcher
    -0.70
    eanor
    -0.68
    hirt
    -0.68
     Anthem
    -0.68
    atta
    -0.67
     Outbreak
    -0.66
    itcher
    -0.65
    etter
    -0.65
     Incident
    -0.64
    POSITIVE LOGITS
     or
    0.99
     rather
    0.97
     instead
    0.97
    -,
    0.91
     grids
    0.91
     alone
    0.90
     equivalents
    0.88
    .</
    0.87
    $.
    0.87
     membranes
    0.87
    Activations Density 0.540%

    No Known Activations