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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. 6-RES-JB
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    Explanations

    proper nouns related to cities, specifically focusing on the city of Rome

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intosh
    -1.12
    lasses
    -0.87
    Marginal
    -0.85
    merce
    -0.85
    TPPStreamerBot
    -0.83
    innon
    -0.76
    lished
    -0.74
    enzie
    -0.73
    rieved
    -0.73
    ramid
    -0.73
    POSITIVE LOGITS
     Pact
    0.87
     Galile
    0.77
     Reign
    0.75
    vation
    0.73
     Circus
    0.73
     Inquisition
    0.73
     cathedral
    0.72
     Cathedral
    0.72
     Catholicism
    0.71
     Cardinal
    0.70
    Activations Density 0.009%

    No Known Activations