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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. 2-RES-JB
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    keywords related to the city of Rome

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Rome

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intosh
    -1.09
    Marginal
    -0.92
    lasses
    -0.82
    lished
    -0.78
    ointed
    -0.77
    iliary
    -0.77
    merce
    -0.77
    ramid
    -0.72
    dash
    -0.72
    inventoryQuantity
    -0.71
    POSITIVE LOGITS
     Pact
    0.91
     Rome
    0.84
     Reign
    0.84
     Inquisition
    0.81
    anus
    0.78
    ophobia
    0.77
    senal
    0.75
    omics
    0.73
     Rite
    0.73
     Antiqu
    0.73
    Activations Density 0.003%

    No Known Activations