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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. 2485
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    Explanations

    proper nouns related to sports teams and place names

    oai_token-act-pair · gpt-3.5-turbo

    names of people and significant entities

    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
    ADRA
    -0.86
     mathemat
    -0.77
    ħĭ
    -0.74
    afort
    -0.69
    asure
    -0.68
    Ô
    -0.67
    FactoryReloaded
    -0.65
     reconc
    -0.64
    ansion
    -0.62
    ictions
    -0.62
    POSITIVE LOGITS
    nuts
    0.90
    warm
    0.89
     Wick
    0.88
    stones
    0.86
    ker
    0.84
    nut
    0.81
    bs
    0.81
    iour
    0.79
    lands
    0.77
     Kop
    0.76
    Activations Density 0.035%

    No Known Activations