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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. 6-RES-JB
    11. 3650
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    Explanations

    phrases indicating scrutiny, pressure, or criticism

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "come under" followed by various contexts indicating scrutiny or pressure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Begins
    -0.69
    aries
    -0.68
     sake
    -0.66
    Tur
    -0.64
    eln
    -0.62
    HK
    -0.62
    MX
    -0.62
    IGN
    -0.60
    Minecraft
    -0.59
     Tek
    -0.59
    POSITIVE LOGITS
    whel
    0.95
    stood
    0.94
    whelming
    0.94
    lined
    0.94
     scrutiny
    0.92
    pins
    0.88
    dogs
    0.88
    written
    0.87
    lining
    0.86
    reported
    0.86
    Activations Density 0.038%

    No Known Activations