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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. 1-RES-JB
    11. 5575
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    Explanations

    frameworks or structures in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to structures or systems that provide organization or support in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hib
    -0.74
    igi
    -0.73
    cial
    -0.70
     Griffith
    -0.65
    dream
    -0.63
     peril
    -0.61
     legendary
    -0.61
    interest
    -0.59
     sons
    -0.59
     needless
    -0.58
    POSITIVE LOGITS
     framework
    1.29
     frameworks
    1.05
    framework
    1.04
     Framework
    0.97
    ascript
    0.83
    eworks
    0.80
    zsche
    0.79
     guiActiveUn
    0.77
    schild
    0.74
    yip
    0.74
    Activations Density 0.007%

    No Known Activations