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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
    11. 3686
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    Explanations

    names of cities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to geographical locations

    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
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    No Comments

    Negative Logits
    20439
    -0.91
    lihood
    -0.81
    bre
    -0.78
    Austral
    -0.77
    Ireland
    -0.76
    áµ
    -0.70
    func
    -0.68
    Irish
    -0.68
    India
    -0.66
    actionDate
    -0.65
    POSITIVE LOGITS
     unpop
    0.81
     countryside
    0.76
     governor
    0.67
     docks
    0.67
     mayor
    0.66
     suburbs
    0.66
     neighborhoods
    0.66
     suburb
    0.65
     neighbourhoods
    0.65
     City
    0.63
    Activations Density 0.376%

    No Known Activations