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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. 4-RES-JB
    11. 199
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    INDEX
    Explanations

    terms related to rules, norms, and standards

    oai_token-act-pair · gpt-3.5-turbo

    elements related to societal structures and norms

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

    No Comments

    Negative Logits
    renches
    -0.55
    apeake
    -0.55
    brids
    -0.55
     channels
    -0.55
     Sections
    -0.54
     strongest
    -0.53
     Machines
    -0.53
     Scouts
    -0.51
     Zombies
    -0.50
     largest
    -0.49
    POSITIVE LOGITS
     consisting
    0.74
     standpoint
    0.69
    cko
    0.64
     involving
    0.59
     resembling
    0.57
     regimen
    0.56
     comprised
    0.56
     costing
    0.56
     featuring
    0.55
    bike
    0.55
    Activations Density 0.970%

    No Known Activations