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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. 7080
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    Explanations

    words related to a specific location, namely a station

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly stations

    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
    aphael
    -0.75
    erenn
    -0.69
     Harm
    -0.66
     Roses
    -0.65
    URES
    -0.65
     Coalition
    -0.63
    IGHTS
    -0.62
    asive
    -0.62
    STEM
    -0.61
     Fall
    -0.61
    POSITIVE LOGITS
     station
    1.40
     stations
    1.22
     wagon
    1.09
    wagon
    0.96
     Station
    0.91
    ery
    0.89
    station
    0.84
    Station
    0.84
     attendant
    0.84
    eering
    0.78
    Activations Density 0.010%

    No Known Activations