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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. 2-RES-JB
    11. 11406
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    Explanations

    mentions of written content or documents

    oai_token-act-pair · gpt-3.5-turbo

    references to written materials or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abe
    -0.88
    nel
    -0.82
    abil
    -0.70
    elli
    -0.69
    olar
    -0.69
    alo
    -0.68
    nels
    -0.67
    MAL
    -0.67
    conom
    -0.66
    Magn
    -0.65
    POSITIVE LOGITS
     written
    1.00
     penned
    0.82
     breath
    0.76
    written
    0.75
    lishing
    0.71
     writing
    0.71
     readable
    0.70
    writing
    0.70
    writ
    0.70
     typed
    0.69
    Activations Density 0.022%

    No Known Activations