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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. 16022
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    Explanations

    phrases indicating a decision or judgment based on specific criteria or principles

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating criteria or decisions that are determined by certain foundations or principles

    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
    IVER
    -0.74
    dra
    -0.72
    nature
    -0.72
     Nept
    -0.71
     Donovan
    -0.71
     Tasman
    -0.71
    TPP
    -0.70
    SCP
    -0.70
    060
    -0.69
    jar
    -0.69
    POSITIVE LOGITS
     based
    0.93
     loosely
    0.86
    onial
    0.77
     execut
    0.75
    edience
    0.74
     veter
    0.73
     assum
    0.70
    gebra
    0.70
     literacy
    0.70
     analy
    0.69
    Activations Density 0.037%

    No Known Activations