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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. 8-RES-JB
    11. 2460
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    Explanations

    phrases related to scientific concepts or technical terms, potentially related to biochemistry or neuroscience

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various contexts throughout the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olicy
    -0.80
    Cash
    -0.78
    Faith
    -0.77
    justice
    -0.76
    craft
    -0.75
    Gov
    -0.75
    leground
    -0.74
    fest
    -0.73
    ontent
    -0.71
    Privacy
    -0.71
    POSITIVE LOGITS
     simplest
    1.16
     resultant
    1.13
     latter
    1.11
     slightest
    1.10
    oret
    1.09
     onset
    1.08
     molecular
    1.08
     smallest
    1.07
     electromagnetic
    1.07
     Milky
    1.04
    Activations Density 0.536%

    No Known Activations