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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. 7-RES-JB
    11. 9765
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    Explanations

    specific technical terms related to equipment and machinery

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and components related to machinery and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    inventoryQuantity
    -0.72
    ãĥ´
    -0.72
    Ô
    -0.72
     Masquerade
    -0.71
    umenthal
    -0.71
    AKING
    -0.70
    gaard
    -0.69
    çĶ°
    -0.67
    artney
    -0.67
    ãģĦ
    -0.64
    POSITIVE LOGITS
    flows
    0.70
    ablished
    0.69
    imus
    0.67
    ologies
    0.63
    backs
    0.63
    alions
    0.63
     Spur
    0.62
     deployed
    0.61
    hops
    0.60
    trap
    0.60
    Activations Density 0.478%

    No Known Activations