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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. 4374
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    Explanations

    numerical values or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
     pudding
    -0.72
     performer
    -0.67
     attacker
    -0.63
    amph
    -0.63
     bearer
    -0.62
     recorder
    -0.62
     healer
    -0.61
     kit
    -0.61
     accomplished
    -0.61
     aside
    -0.60
    POSITIVE LOGITS
    5
    1.18
    00
    1.13
    7
    1.10
    0
    1.10
    6
    1.08
    25
    1.08
    8
    1.06
    50
    1.03
    95
    1.03
    06
    1.03
    Activations Density 0.073%

    No Known Activations