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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. 4456
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    INDEX
    Explanations

    mentions of transportation or travel-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific stations

    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
    STEM
    -0.77
    IGHTS
    -0.73
    URES
    -0.70
    usalem
    -0.68
    aphael
    -0.68
    erenn
    -0.67
    icult
    -0.65
    vironment
    -0.64
     IMAGES
    -0.62
    Virtual
    -0.62
    POSITIVE LOGITS
     station
    1.25
     stations
    1.18
     wagon
    1.13
    wagon
    0.95
     Station
    0.84
    ery
    0.81
    Station
    0.79
     attendant
    0.77
    piece
    0.76
    eering
    0.76
    Activations Density 0.013%

    No Known Activations