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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 199
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    Explanations

    numbers, particularly relating to quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to large numerical quantities or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    krit
    -0.71
    ufact
    -0.70
    venge
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    estine
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    ifice
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     tremend
    -0.67
    alys
    -0.66
    ocol
    -0.65
    pport
    -0.65
    ienne
    -0.63
    POSITIVE LOGITS
    +
    1.19
    mAh
    0.99
    lbs
    0.97
     lbs
    0.96
    lb
    0.96
    +.
    0.94
     miles
    0.93
     volts
    0.93
    km
    0.93
    rpm
    0.92
    Activations Density 0.078%

    No Known Activations