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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. 4-RES-JB
    11. 965
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    Explanations

    locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations

    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
    vana
    -0.77
     Finder
    -0.74
    vor
    -0.69
    --------------------------------------------------------
    -0.67
    binary
    -0.66
     Leopard
    -0.65
    bearing
    -0.65
    ridges
    -0.62
    holding
    -0.62
     sequest
    -0.61
    POSITIVE LOGITS
     Moines
    1.14
    hyde
    0.93
    aukee
    0.91
     Register
    0.91
    erville
    0.88
    ites
    0.81
     Rapids
    0.79
    Leaks
    0.75
    boro
    0.75
    vill
    0.74
    Activations Density 0.019%

    No Known Activations