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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. 1-RES-JB
    11. 20897
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    Explanations

    mentions of specific locations, particularly in the context of news or events occurring in those places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly city names

    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
    LEASE
    -0.69
    EP
    -0.68
    ntil
    -0.62
    lished
    -0.61
     juicy
    -0.61
    bies
    -0.61
     confidentiality
    -0.60
    initely
    -0.60
     quo
    -0.60
    tracks
    -0.59
    POSITIVE LOGITS
    zon
    1.62
    atown
    0.92
    naire
    0.86
    onson
    0.84
    ners
    0.83
    eca
    0.83
    eteenth
    0.80
    stan
    0.79
    ryu
    0.79
    ogo
    0.75
    Activations Density 0.010%

    No Known Activations