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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 762
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    Explanations

    phrases related to a specific individual or object

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Effects
    -0.80
    ATURES
    -0.79
     Examples
    -0.78
    Examples
    -0.77
    iments
    -0.76
    orders
    -0.74
    uses
    -0.74
    arten
    -0.73
    results
    -0.71
    inson
    -0.71
    POSITIVE LOGITS
     deceased
    0.92
     single
    0.88
     defunct
    0.87
     thousand
    0.86
     lifetime
    0.82
     nonexistent
    0.81
     dozen
    0.80
     nutshell
    0.80
     fictitious
    0.80
     hundred
    0.79
    Activations Density 0.178%

    No Known Activations