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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. 3-RES-JB
    11. 3727
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    INDEX
    Explanations

    mentions of specific neighborhood names or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to urban communities or specific areas within a city

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulum
    -0.82
    sonian
    -0.73
    iasis
    -0.71
    pas
    -0.68
    rolog
    -0.68
    nis
    -0.67
    urus
    -0.66
    AUT
    -0.66
    vic
    -0.66
    andum
    -0.64
    POSITIVE LOGITS
    chool
    1.10
     neighborhoods
    1.10
     neighbourhoods
    0.97
     dwellings
    0.85
    cape
    0.83
     streets
    0.82
     councils
    0.81
     neighbourhood
    0.80
     districts
    0.80
     suburbs
    0.77
    Activations Density 0.010%

    No Known Activations