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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. 23274
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    Explanations

    keywords related to temperature control and monitoring

    oai_token-act-pair · gpt-3.5-turbo

    references to temperature-related concepts

    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
    lez
    -0.81
    gd
    -0.76
    otto
    -0.76
    gotten
    -0.74
    business
    -0.72
    roma
    -0.72
    RECT
    -0.72
    roads
    -0.71
    ioned
    -0.69
    bor
    -0.68
    POSITIVE LOGITS
     temperatures
    1.30
     temperature
    1.27
     fluctuations
    1.08
     Temperature
    1.07
     extremes
    1.05
    Temperature
    1.04
     therm
    1.01
    perature
    1.01
     humidity
    0.91
     gradient
    0.91
    Activations Density 0.012%

    No Known Activations