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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 6482
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    Explanations

    numerical values in the format of currency

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to financial figures and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arist
    -0.65
     Kard
    -0.59
    soDeliveryDate
    -0.58
     Pros
    -0.57
    Redditor
    -0.56
    aukee
    -0.56
    reditary
    -0.54
     Stall
    -0.54
    istically
    -0.54
    ————————
    -0.53
    POSITIVE LOGITS
    758
    1.11
    287
    1.11
    355
    1.09
    193
    1.07
    388
    1.05
    307
    1.05
    446
    1.05
    459
    1.04
    376
    1.04
    394
    1.04
    Activations Density 0.121%

    No Known Activations