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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. 9-RES-JB
    11. 18322
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    Explanations

    terms related to competitive races or events

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive events or races

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    oult
    -0.70
    osis
    -0.68
    alty
    -0.68
    olia
    -0.68
    iar
    -0.68
    arial
    -0.67
    ophile
    -0.66
    oca
    -0.66
    berra
    -0.65
    etheless
    -0.64
    POSITIVE LOGITS
    course
    1.38
    horse
    1.28
    cars
    1.10
    car
    1.00
    bike
    0.92
    nell
    0.91
    runner
    0.84
     weekends
    0.84
    runners
    0.83
    ways
    0.83
    Activations Density 0.032%

    No Known Activations