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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. 7170
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    Explanations

    references to "bathtub"

    oai_token-act-pair · gpt-3.5-turbo

    references to bathtubs and related items or actions

    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
     Seym
    -0.73
     LIFE
    -0.70
     KR
    -0.65
     reservations
    -0.65
     flights
    -0.65
     faults
    -0.65
     prost
    -0.63
     acknowled
    -0.62
     resid
    -0.62
    ĨĴ
    -0.62
    POSITIVE LOGITS
    heed
    0.91
    hower
    0.90
    chool
    0.89
    melon
    0.86
    mith
    0.85
    ousel
    0.85
    mast
    0.84
    belt
    0.84
    loo
    0.84
    Lens
    0.82
    Activations Density 0.035%

    No Known Activations