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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. 3-RES-JB
    11. 12534
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    oai_token-act-pair · gpt-3.5-turbo

    words related to neutrons and neutron experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.92
     Dragonbound
    -0.89
    uyomi
    -0.82
    NetMessage
    -0.81
    HCR
    -0.77
    awaru
    -0.77
    Accessory
    -0.77
    dos
    -0.75
    auga
    -0.74
    Attempts
    -0.74
    POSITIVE LOGITS
    rals
    1.17
     neut
    1.14
    aval
    0.79
    rons
    0.76
    ropolis
    0.76
    roid
    0.75
    ers
    0.75
    ron
    0.72
    arest
    0.72
    zh
    0.71
    Activations Density 0.005%

    No Known Activations