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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. 22983
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    Explanations

    references to a specific landmark, the Eiffel Tower

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Eiffel Tower

    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
    thia
    -0.77
    qqa
    -0.72
    ctica
    -0.68
    adra
    -0.64
     propagate
    -0.61
     Vulkan
    -0.61
    obin
    -0.61
    rily
    -0.61
    zech
    -0.61
     sorely
    -0.60
    POSITIVE LOGITS
    iculty
    1.14
    erences
    1.04
    ness
    0.99
    ield
    0.94
    icult
    0.91
    iff
    0.91
    oon
    0.83
    essed
    0.81
    ession
    0.80
    nesses
    0.80
    Activations Density 0.008%

    No Known Activations