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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. 24471
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    INDEX
    Explanations

    transportation-related terms such as modes of transit, stations, routes, and services

    oai_token-act-pair · gpt-3.5-turbo

    elements related to public transportation and transit improvements

    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
    sonian
    -0.90
    reditary
    -0.72
    idav
    -0.69
     likeness
    -0.67
    nikov
    -0.67
    eln
    -0.66
    ersion
    -0.64
     childhood
    -0.64
     embry
    -0.63
    IENT
    -0.63
    POSITIVE LOGITS
     buses
    1.00
     commuters
    0.96
     streetcar
    0.93
     commuter
    0.92
     Amtrak
    0.90
     trains
    0.90
     Transit
    0.87
     busiest
    0.85
    ways
    0.84
     BART
    0.83
    Activations Density 0.151%

    No Known Activations