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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. 5-RES-JB
    6. 13069
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    Explanations

    temperature values in degrees

    oai_token-act-pair · gpt-3.5-turbo

    temperatures expressed in degrees Celsius and Fahrenheit

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Saga
    -0.76
    ardless
    -0.74
    ortment
    -0.74
    gotten
    -0.74
    abor
    -0.73
    etsk
    -0.73
    erc
    -0.71
    eson
    -0.69
     purse
    -0.67
    ulations
    -0.67
    POSITIVE LOGITS
    º
    1.17
    °
    1.14
    º
    1.03
     Fahrenheit
    0.92
     Celsius
    0.92
    elsius
    0.91
    âĶĢâĶĢâĶĢâĶĢ
    0.83
    Temperature
    0.80
    ³
    0.80
    ¿
    0.76
    Activations Density 0.005%

    No Known Activations