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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. 2698
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    INDEX
    Explanations

    words related to learning, with a focus on the word "Lear"

    oai_token-act-pair · gpt-3.5-turbo

    references to the character "Lear" and related themes

    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
    opsy
    -0.82
    avorite
    -0.79
     eleph
    -0.73
    senal
    -0.72
    raviolet
    -0.72
    pora
    -0.70
    ablishment
    -0.70
     stocking
    -0.70
    aeda
    -0.69
    ctrl
    -0.68
    POSITIVE LOGITS
    ership
    1.18
    Lear
    0.95
    ners
    0.91
    ings
    0.89
    nt
    0.87
    ston
    0.86
    lihood
    0.85
    lear
    0.85
    nings
    0.83
    say
    0.83
    Activations Density 0.015%

    No Known Activations