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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    proper nouns related to different cities

    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 @ 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
    intosh
    -1.17
    Marginal
    -0.97
    lasses
    -0.89
    merce
    -0.85
    pring
    -0.78
    TPPStreamerBot
    -0.78
    lished
    -0.77
    ramid
    -0.76
    enzie
    -0.74
    rity
    -0.73
    POSITIVE LOGITS
     Pact
    0.87
     Inquisition
    0.80
     Reign
    0.76
    anus
    0.75
     cathedral
    0.74
     Antiqu
    0.74
     Cathedral
    0.73
     Circus
    0.72
     Mysteries
    0.72
     Catholicism
    0.72
    Activations Density 0.008%

    No Known Activations