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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. 530
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    Explanations

    words related to strategies or approaches, specifically those related to tackling or handling things

    oai_token-act-pair · gpt-3.5-turbo

    references to strategic approaches or tactics

    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
    omial
    -0.82
    ĨĴ
    -0.72
    HCR
    -0.71
    DOM
    -0.68
    ODE
    -0.64
     Koen
    -0.64
     NCT
    -0.62
    ordan
    -0.61
    fell
    -0.61
    leasing
    -0.60
    POSITIVE LOGITS
     tack
    1.26
    lers
    0.88
    iness
    0.77
    arella
    0.77
    otle
    0.74
    ler
    0.73
    LER
    0.72
    alon
    0.72
     chic
    0.72
    *=-
    0.72
    Activations Density 0.004%

    No Known Activations