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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. 3-RES-JB
    11. 5907
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    INDEX
    Explanations

    phrases with the word "lots" indicating a large quantity

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing abundance or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.90
    Adult
    -0.70
    tein
    -0.70
    Lie
    -0.68
    Pal
    -0.68
    SPONSORED
    -0.66
    Accessory
    -0.66
    Aid
    -0.65
    zyk
    -0.64
    arthed
    -0.63
    POSITIVE LOGITS
    tery
    0.89
    creen
    0.86
    ortment
    0.82
    poons
    0.80
     Lots
    0.79
    icult
    0.76
     amounts
    0.75
    chool
    0.74
    lot
    0.73
    aurus
    0.73
    Activations Density 0.009%

    No Known Activations