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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
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    INDEX
    Explanations

    mentions of institutional settings or systems

    oai_token-act-pair · gpt-3.5-turbo

    mentions of institutional concepts and issues

    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
    uv
    -0.79
    vous
    -0.75
    ouston
    -0.73
    kers
    -0.72
    hner
    -0.71
    gets
    -0.70
    word
    -0.69
    Pod
    -0.68
    yah
    -0.67
    ker
    -0.67
    POSITIVE LOGITS
    itutional
    1.19
     institutional
    1.18
     affili
    1.04
     institutions
    1.00
     institution
    0.98
    utions
    0.93
    MpServer
    0.90
    ized
    0.89
    ulty
    0.87
     eleph
    0.84
    Activations Density 0.006%

    No Known Activations