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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. 2-RES-JB
    11. 929
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    Explanations

    the word "singles"

    oai_token-act-pair · gpt-4-turbo

    mentions of sports terms related to tennis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to singles and doubles in a competitive context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.82
     Rand
    -0.71
    asus
    -0.65
    orse
    -0.65
    uncture
    -0.65
    raq
    -0.63
    ression
    -0.63
     Rome
    -0.62
    anism
    -0.62
    indal
    -0.61
    POSITIVE LOGITS
    creen
    1.07
    peak
    1.01
    peed
    1.00
    paces
    0.92
     singles
    0.84
     tennis
    0.82
    pace
    0.82
    ettings
    0.79
    ters
    0.79
    ites
    0.77
    Activations Density 0.011%

    No Known Activations