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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. 4566
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    Explanations

    references to retirement or co-located activities or places

    oai_token-act-pair · gpt-3.5-turbo

    references to retirement or retired individuals and related topics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tips
    -0.96
    ãĥ¼ãĥĨ
    -0.73
    hower
    -0.73
     hearts
    -0.68
    STEM
    -0.67
    aughtered
    -0.66
    EngineDebug
    -0.64
     mouths
    -0.63
    heartedly
    -0.62
    STD
    -0.61
    POSITIVE LOGITS
    ention
    1.10
    ired
    1.07
    rieving
    1.03
    ribut
    1.01
    rieve
    1.00
    ract
    0.99
    irement
    0.97
    reating
    0.92
    rey
    0.91
    rieved
    0.90
    Activations Density 0.007%

    No Known Activations