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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. 1-RES-JB
    11. 2546
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    Explanations

    nouns related to machinery or equipment maintenance

    oai_token-act-pair · gpt-3.5-turbo

    words related to consumption and the notion of being consumed or processed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Protector
    -0.64
     Defenders
    -0.64
     Souls
    -0.64
     Dragonbound
    -0.62
     admission
    -0.62
    ocene
    -0.62
    ortium
    -0.60
    iate
    -0.60
     âĵĺ
    -0.60
     Hearts
    -0.59
    POSITIVE LOGITS
    ller
    1.13
    ptic
    1.05
    llers
    1.05
    vin
    0.93
    ffe
    0.91
    pos
    0.90
    ppo
    0.90
    ¸
    0.90
    pper
    0.90
    ggie
    0.89
    Activations Density 0.026%

    No Known Activations