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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. 20142
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    Explanations

    Spanish words related to titles or persons, particularly ones with accents like "ÃŃa" and "ÃŃo"

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with notable cultural or historical significance

    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
    acles
    -0.99
    acle
    -0.89
    unders
    -0.77
    urtle
    -0.75
    igree
    -0.74
    ancies
    -0.74
    race
    -0.73
    orph
    -0.73
    auld
    -0.71
    raised
    -0.70
    POSITIVE LOGITS
    ÃŃa
    0.98
    BILITY
    0.91
     José
    0.88
    ÃŃn
    0.87
     Pablo
    0.82
     Elena
    0.81
     Crist
    0.79
    án
    0.79
    idad
    0.79
     nerv
    0.78
    Activations Density 0.007%

    No Known Activations