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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. 0-RES-JB
    11. 18170
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    Explanations

    names of political figures

    oai_token-act-pair · gpt-3.5-turbo

    references to U.S. Senators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gallon
    -0.65
     graveyard
    -0.64
     gib
    -0.64
    Official
    -0.64
     employment
    -0.64
     kh
    -0.62
    join
    -0.61
    atl
    -0.61
    adr
    -0.61
    inar
    -0.61
    POSITIVE LOGITS
     Sens
    4.08
     sensing
    1.43
     sens
    1.29
     Reps
    1.26
     Senators
    1.23
     Sensor
    1.22
     sensit
    1.20
     sensors
    1.09
     Sen
    1.09
     sensitive
    1.06
    Activations Density 0.016%

    No Known Activations