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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. 9295
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    Explanations

    references to specific nodes, likely in a technological context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific nodes in a network context

    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
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    Negative Logits
    enegger
    -0.90
    giving
    -0.75
    orical
    -0.74
    ocaust
    -0.71
    RANT
    -0.68
    eatures
    -0.67
    taking
    -0.67
    orically
    -0.66
     Dragonbound
    -0.66
    aternity
    -0.66
    POSITIVE LOGITS
     node
    1.01
     nodes
    0.95
    js
    0.89
    JS
    0.82
     Node
    0.78
    uria
    0.74
    odes
    0.73
    modules
    0.72
    Node
    0.71
    ode
    0.71
    Activations Density 0.011%

    No Known Activations