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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. 7-RES-JB
    11. 11705
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    Explanations

    proper nouns of people or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals or significant figures in cultural or social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.91
    lins
    -0.80
    sonian
    -0.79
    FactoryReloaded
    -0.76
    yll
    -0.75
    imilation
    -0.75
    die
    -0.73
    din
    -0.72
    ealing
    -0.71
    dh
    -0.71
    POSITIVE LOGITS
    osity
    1.01
    ous
    0.99
    istics
    0.93
    umbers
    0.90
    ance
    0.86
    aries
    0.83
    stal
    0.82
    uments
    0.81
    orman
    0.80
    eters
    0.78
    Activations Density 0.071%

    No Known Activations