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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 18354
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    Explanations

    phrases related to locations, specifically the Detroit-Windsor area

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations, particularly Windsor and Essex

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -1.01
    ynthesis
    -0.79
    ļé
    -0.77
    mble
    -0.75
    alg
    -0.75
    ngth
    -0.74
    undai
    -0.73
    irty
    -0.72
    artments
    -0.69
    alach
    -0.68
    POSITIVE LOGITS
     Windsor
    1.36
     Spit
    1.23
     Bride
    0.81
    hurst
    0.80
     Castle
    0.80
    mouth
    0.75
    shire
    0.75
     Downs
    0.74
     Loft
    0.73
    borough
    0.72
    Activations Density 0.004%

    No Known Activations