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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. 9007
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    INDEX
    Explanations

    numerical sequences represented in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical data, specifically those related to votes or counts

    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
    enzie
    -0.83
    anooga
    -0.82
    liga
    -0.78
     Beir
    -0.78
    orney
    -0.78
    ellation
    -0.77
    andise
    -0.75
    illation
    -0.75
    ype
    -0.74
    aleb
    -0.73
    POSITIVE LOGITS
    th
    0.96
    00
    0.95
    650
    0.83
    017
    0.80
    50
    0.79
    214
    0.78
    31
    0.77
    37
    0.77
    315
    0.77
    758
    0.77
    Activations Density 0.022%

    No Known Activations