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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. 11691
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    Explanations

    technical terms related to control, such as "control signals", "control panel", and "control tower"

    oai_token-act-pair · gpt-3.5-turbo

    references to control systems

    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
    gow
    -0.84
    ich
    -0.66
    neys
    -0.65
     Masquerade
    -0.64
     mc
    -0.64
    iscopal
    -0.63
    osp
    -0.63
    à¤
    -0.62
    anthrop
    -0.62
     Beir
    -0.62
    POSITIVE LOGITS
     freak
    0.92
     valves
    0.80
     valve
    0.80
    eer
    0.80
     rods
    0.76
     exercised
    0.74
     levers
    0.73
     fre
    0.72
     exerted
    0.72
    eers
    0.72
    Activations Density 0.063%

    No Known Activations