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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. 9-RES-JB
    11. 15547
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    Explanations

    verbs related to actions or initiatives, often in the context of discussions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to measurements or classifications of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.72
     substr
    -0.60
    EngineDebug
    -0.60
    EStreamFrame
    -0.59
    bnb
    -0.58
     Hallow
    -0.57
     Cutter
    -0.56
     Pandora
    -0.56
     soph
    -0.55
     baggage
    -0.55
    POSITIVE LOGITS
    ippi
    0.81
    pez
    0.80
    aptic
    0.76
    ickey
    0.76
    anos
    0.74
    arcity
    0.74
    imus
    0.72
    zee
    0.70
    oso
    0.70
    afe
    0.69
    Activations Density 0.104%

    No Known Activations