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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. 23101
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    isner
    -0.80
    nesota
    -0.79
    ession
    -0.78
    essing
    -0.78
    racuse
    -0.77
    NetMessage
    -0.75
    sembly
    -0.75
    ynthesis
    -0.75
    pocket
    -0.74
    osponsors
    -0.74
    POSITIVE LOGITS
    ³
    1.10
    ²
    0.99
    ¡
    0.95
    ł
    0.92
    »
    0.89
    ·
    0.85
    ´
    0.84
    ¹
    0.84
    ãĥ¼ãĥ
    0.81
    ģ
    0.80
    Activations Density 0.004%

    No Known Activations